# The SETT Ontology - Specification

Daniela F. Milon-Flores, Camille Bernard, Jérôme Gensel, Gregory Giuliani

► To cite this version:

Daniela F. Milon-Flores, Camille Bernard, Jérôme Gensel, Gregory Giuliani. The SETT Ontology - Specification. Laboratoire d'informatique de Grenoble. 2025. hal-05379464

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<figure><img src="image_1.png" /></figure>
# The SeTT ontology

language en

Release: July 2025

This version:

http://purl.org/sett/vocab#1.0

Latest version:

http://purl.org/sett/vocab#

Revision:

1.0

Authors:

(1) Daniela Fernanda Milon-Flores

(2) Camille Bernard

(3) Jérôme Gensel

(4) Gregory Giuliani

License:

License http://creativecommons.org/licenses/by/4.0/

Visualization:

Visualize with WebVowl

Cite as:

Cite this vocabulary as Milon-Flores, D.; Bernard, C.; Gensel, J. and Giuliani, G. The SeTT ontology 1.0

Ontology Specification Draft

## Abstract

The negative impact of human activities on our planet has increased the interest of stakeholders, from policymakers to citizens, in monitoring and understanding local environmental changes. However, these data are often complex and difficult for non-experts to interpret. To address this, we introduce the SeTT (Semantic Trajectory of a Territorial Unit) ontology, which describes the environmental evolution of Territorial Units (e.g., municipalities) through different perspectives—Raw, Structured, and Thematic—making this information more synthesized, accessible, and understandable for both expert and non-expert users.

## Table of contents

1. Introduction

○ 1.1. Namespace declarations

2. The SeTT ontology: Overview

3. The SeTT ontology: Description

4. Cross-reference for The SeTT ontology classes, object properties and data properties

○ 4.1. Classes

○ 4.2. Object Properties

○ 4.3. Data Properties

5. References

6. Acknowledgments
<figure><img src="image_2.png" /><figcaption>Figure 1. The SeTT ontology main primitives.</figcaption></figure>

## Introduction back to ToC

This is a place holder text for the introduction. The introduction should briefly describe the ontology, its motivation, state of the art and goals.

### Namespace declarations

<table><caption>Table 1: Namespaces used in the document</caption><tr><td>[Ontology NS Prefix]</td><td>&lt;http://purl.org/sett/vocab#&gt;</td></tr><tr><td>dc</td><td>&lt;http://purl.org/dc/elements/1.1/&gt;</td></tr><tr><td>owl</td><td>&lt;http://www.w3.org/2002/07/owl#&gt;</td></tr><tr><td>qb</td><td>&lt;http://purl.org/linked-data/cube#&gt;</td></tr><tr><td>rdf</td><td>&lt;http://www.w3.org/1999/02/22-rdf-syntax-ns#&gt;</td></tr><tr><td>rdfs</td><td>&lt;http://www.w3.org/2000/01/rdf-schema#&gt;</td></tr><tr><td>schema</td><td>&lt;http://schema.org/&gt;</td></tr><tr><td>skos</td><td>&lt;http://www.w3.org/2004/02/skos/core#&gt;</td></tr><tr><td>terms</td><td>&lt;http://purl.org/dc/terms/&gt;</td></tr><tr><td>xml</td><td>&lt;http://www.w3.org/XML/1998/namespace&gt;</td></tr><tr><td>xsd</td><td>&lt;http://www.w3.org/2001/XMLSchema#&gt;</td></tr></table>

## The SeTT ontology: Overview back to ToC

This ontology has the following classes and properties.
Classes

* Attribute

* BEAST

* BFAST

* BFAST Lite

* BFAST Monitor

* Binseg

* Break Point

* C C D C

* Component

* Country

* DBEST

* Episode

* Episode Behavior Annotation

* Episode Duration Annotation

* Episode End Date

* Episode Gradual Magnitude Annotation

* Episode Slope Annotation

* Episode Start Date

* Episode Statistical Significance Annotation

* Episode Thematic Slope Annotation

* Episode Value Level Annotation

* Event

* Event Date

* Event Explanatory Factor

* Event Transition Annotation

* External Attribute

* HMM

* Indicator

* Inflexion Point

* Interruption Point

* Intrinsic Attribute

* Linear Regression

* Linear Segment

* Non Linear Segment

* PELT

* Piecewise Regression

* Raw Component

* Raw Trajectory

* Regime Change Point

* Segment

* Segment Duration

* Segment End X

* Segment End Y

* Segment Gradual Magnitude

* Segment p-value

* Segment Slope Direction

* Segment Slope Intercept

* Segment Slope Magnitude

* Segment Start X

* Segment Start Y

* Segmentation Method

* Semantic Annotation

* Semantic Annotation Criteria
* SeTT

* Slice

* Slice End Observation

* Slice Start Observation

* Slice Total Observations

* State Segment

* Structuration Method

* Structured Component

* Structured Trajectory

* Study Area

* Temporal Granularity

* Temporal Scale

* Territorial Unit

* Thematic Component

* Thematic Trajectory

* Theme

* Trajectory

* Transition Point

* Transition Point Detection Method

* Transition Point Magnitude

* Transition Point Probability

* Transition Point X

* Transition Point Y

## Object Properties

* calculated Using Segment Method

* calculated Using Transition Point Method

* country

* defines Criteria For

* episode Is Annotated From

* event Is Annotated From

* gives Data To

* has Attribute

* has Broader Theme

* has Episode

* has Event

* has Explanatory Factor

* has External Attribute

* has Intrinsic Attribute

* has Se T T

* has Segment

* has Semantic Annotation

* has Semantic Annotation Criteria

* has Slice

* has Temporal Granularity

* has Temporal Scale

* has Thematic Trajectory

* has Theme

* has Transition Point

* indicator Monitored By

* is Attribute Of Semantic Annotation

* Is Event Of

* is External Attribute Of

* is Intrinsic Attribute Of
* is Study Area Of

* monitors Indicator

* segment Is Derivated From

* semantic Annotation Based On Attribute

* slice Delimited By

* study Area

* takes Data From

* transition Point Delimit Slice

## Data Properties

* area In H An Lake

* area In M2

* has Annotation Criteria Description

* has Attribute Value

* has Indicator Description

* has Indicator Formula

* has Sequence Order

* has Structuration Method Description

* has Total Episodes

* has Total Events

* has Total Segments

* has Total Slices

* has Total Transition Points

* max Elevation Meters

* max Slope Degrees

* mean Elevation Meters

* mean Slope Degrees

* min Elevation Meters

* min Slope Degrees

* std Elevation Meters

* std Slope Degrees

* total Area In M2

<figure><img src="image_3.png" /></figure>

## The SeTT ontology: Description back to ToC

SeTT is a multi-layered ontology specifically designed to describe the semantic trajectories of Territorial Units (TUs). It models three types of trajectories: Raw, Structured, and Semantic. Together, these trajectories create a comprehensive framework for capturing, organizing, and analyzing the evolution of TUs across various thematic domains, thereby improving users' ability to interpret and understand complex data.

## Cross-reference for The SeTT ontology classes, object properties and data properties back to ToC

This section provides details for each class and property defined by The SeTT ontology.

### Classes
* Attribute

* BEAST

* BFAST

* BFAST Lite

* BFAST Monitor

* Binseg

* Break Point

* C C D C

* Component

* Country

* DBEST

* Episode

* Episode Behavior Annotation

* Episode Duration Annotation

* Episode End Date

* Episode Gradual Magnitude Annotation

* Episode Slope Annotation

* Episode Start Date

* Episode Statistical Significance Annotation

* Episode Thematic Slope Annotation

* Episode Value Level Annotation

* Event

* Event Date

* Event Explanatory Factor

* Event Transition Annotation

* External Attribute

* HMM

* Indicator

* Inflexion Point

* Interruption Point

* Intrinsic Attribute

* Linear Regression

* Linear Segment

* Non Linear Segment

* PELT

* Piecewise Regression

* Raw Component

* Raw Trajectory

* Regime Change Point

* Segment

* Segment Duration

* Segment End X

* Segment End Y

* Segment Gradual Magnitude

* Segment p-value

* Segment Slope Direction

* Segment Slope Intercept

* Segment Slope Magnitude

* Segment Start X

* Segment Start Y

* Segmentation Method

* Semantic Annotation

* Semantic Annotation Criteria

* SeTT

* Slice
* Slice End Observation

* Slice Start Observation

* Slice Total Observations

* State Segment

* Structuration Method

* Structured Component

* Structured Trajectory

* Study Area

* Temporal Granularity

* Temporal Scale

* Territorial Unit

* Thematic Component

* Thematic Trajectory

* Theme

* Trajectory

* Transition Point

* Transition Point Detection Method

* Transition Point Magnitude

* Transition Point Probability

* Transition Point X

* Transition Point Y

## Attribute<sup>c</sup> back to <u>ToC</u> or <u>Class ToC</u>

**IRI:** http://purl.org/sett/vocab#Attribute

An Attribute provides additional descriptive information about a trajectory component. Attributes may hold a wide range of values, offering flexibility for representing various temporal or thematic aspects.

has sub-classes

<u>External Attribute</u> <sup>c</sup>, <u>Intrinsic Attribute</u> <sup>c</sup>

is in domain of

<u>has Attribute Value</u> <sup>dp</sup>

is in range of

<u>has Attribute</u> <sup>OP</sup>, <u>semantic Annotation Based On Attribute</u> <sup>OP</sup>

is disjoint with

<u>Component</u> <sup>c</sup>, <u>Country</u> <sup>c</sup>, <u>Indicator</u> <sup>c</sup>, <u>SeTT</u> <sup>c</sup>, <u>Semantic Annotation</u> <sup>c</sup>, <u>Semantic Annotation Criteria</u> <sup>c</sup>, <u>Structuration Method</u> <sup>c</sup>, <u>Study Area</u> <sup>c</sup>, <u>Temporal Granularity</u> <sup>c</sup>, <u>Temporal Scale</u> <sup>c</sup>, <u>Territorial Unit</u> <sup>c</sup>, <u>Theme</u> <sup>c</sup>, <u>Trajectory</u> <sup>c</sup>

## B E A S T<sup>c</sup> back to <u>ToC</u> or <u>Class ToC</u>

**IRI:** http://purl.org/sett/vocab#BEAST

The Bayesian Estimator of Abrupt Change, Seasonality, and Trend (BEAST) is a statistical algorithm used for detecting breakpoints, trends, and seasonal variations in time series data. It applies a Bayesian framework to estimate the number and location of change points, making it well-suited for analyzing environmental and remote sensing datasets.

has super-classes

<u>Segmentation Method</u> <sup>c</sup>, <u>Transition Point Detection Method</u> <sup>c</sup>

## B F A S T<sup>c</sup> back to <u>ToC</u> or <u>Class ToC</u>

**IRI:** http://purl.org/sett/vocab#BFAST

The Breaks For Additive Season and Trend (BFAST) algorithm is a statistical method for detecting structural changes in time series data. It decomposes a time series into seasonal, trend, and remainder components and identifies breakpoints where abrupt changes occur. BFAST is widely used in environmental monitoring and remote sensing applications to analyze long-term changes in vegetation, climate, and land cover.
has super-classes

[Segmentation Method](#), [Transition Point Detection Method](#)

## BFAST Lite<sup>c</sup> back to ToC or Class ToC

**IRI:** http://purl.org/sett/vocab#BFASTLite

The BFAST Lite algorithm is a simplified version of the BFAST framework designed for efficient detection of breakpoints, trends, and seasonal variations in large-scale time series data. Unlike the full BFAST model, which iteratively decomposes the time series, BFAST Lite focuses on detecting change points in a single-pass approach, making it computationally faster and suitable for large datasets. It is particularly useful for processing satellite-based Earth observation data and environmental monitoring at scale.

has super-classes

[Segmentation Method](#), [Transition Point Detection Method](#)

## BFAST Monitor<sup>c</sup> back to ToC or Class ToC

**IRI:** http://purl.org/sett/vocab#BFASTMonitor

The BFAST Monitor (Breaks For Additive Season and Trend Monitor) is a statistical algorithm designed for near-real-time monitoring of breakpoints, trends, and seasonal variations in time series data. It extends the BFAST framework by continuously detecting structural changes in new observations while preserving the existing trend and seasonal components. This makes it particularly useful for analyzing environmental and remote sensing datasets, where ongoing monitoring of land cover or vegetation changes is required.

has super-classes

[Segmentation Method](#), [Transition Point Detection Method](#)

## Binseg<sup>c</sup> back to ToC or Class ToC

**IRI:** http://purl.org/sett/vocab#Binseg

Binary Segmentation (Binseg) is a recursive, top-down approach that detects change points in a sequential manner. This method is less computationally intensive but sacrifices some level of optimality in exchange for speed. The algorithm works by splitting the time series into two parts at each iteration and testing whether there is a significant change between these two segments. If a change point is detected, the algorithm continues to split the time series recursively. It repeats this process until no further changes are detected or a predefined stopping criterion is met.

has super-classes

[Segmentation Method](#), [Transition Point Detection Method](#)

## Break Point<sup>c</sup> back to ToC or Class ToC

**IRI:** http://purl.org/sett/vocab#BreakPoint

A Break Point is a Transition Point that marks an abrupt and significant change in the data, such as a sudden increase or decrease.

has super-classes

[Transition Point](#)

is disjoint with

[Inflexion Point](#), [Interruption Point](#), [Regime Change Point](#)

## C C D<sup>c</sup> back to ToC or Class ToC

**IRI:** http://purl.org/sett/vocab#CCDC

The Continuous Change Detection and Classification (CCDC) algorithm is a time series analysis method designed for detecting land surface changes using satellite imagery. It continuously monitors time series data by fitting harmonic regression models to capture seasonal variations and trend changes. When significant deviations from the expected model
occur, CCDC identifies them as change events. This method is widely used in remote sensing applications for land cover monitoring, forest disturbance detection, and environmental change analysis.

has super-classes

[Transition Point Detection Method](#)

## Component<sup>c</sup> back to ToC or Class ToC

**IRI:** http://purl.org/sett/vocab#Component

A Component represents a part of a trajectory, defined by its position in the sequence and its descriptive attributes. The SeTT ontology defines three types of components: raw, structured, and thematic.

has sub-classes

Raw Component<sup>c</sup>, Structured Component<sup>c</sup>, Thematic Component<sup>c</sup>

is in domain of

has Attribute<sup>OP</sup>, has External Attribute<sup>OP</sup>, has Intrinsic Attribute<sup>OP</sup>, has Sequence Order<sup>DP</sup>

is disjoint with

Attribute<sup>c</sup>, Country<sup>c</sup>, Indicator<sup>c</sup>, SeTT<sup>c</sup>, Semantic Annotation<sup>c</sup>, Semantic Annotation Criteria<sup>c</sup>, Structuration Method<sup>c</sup>, Study Area<sup>c</sup>, Temporal Granularity<sup>c</sup>, Temporal Scale<sup>c</sup>, Territorial Unit<sup>c</sup>, Theme<sup>c</sup>, Trajectory<sup>c</sup>

## Country<sup>c</sup> back to ToC or Class ToC

**IRI:** http://purl.org/sett/vocab#Country

A Country represents the national entity in which a Territorial Unit is located.

is in range of

country<sup>OP</sup>

is disjoint with

Attribute<sup>c</sup>, Component<sup>c</sup>, Indicator<sup>c</sup>, SeTT<sup>c</sup>, Semantic Annotation<sup>c</sup>, Semantic Annotation Criteria<sup>c</sup>, Structuration Method<sup>c</sup>, Study Area<sup>c</sup>, Temporal Granularity<sup>c</sup>, Temporal Scale<sup>c</sup>, Territorial Unit<sup>c</sup>, Theme<sup>c</sup>, Trajectory<sup>c</sup>

## DBEST<sup>c</sup> back to ToC or Class ToC

**IRI:** http://purl.org/sett/vocab#DBEST

The DBEST (Detecting Breakpoints and Estimating Segments in Trend) algorithm is a statistical method designed for detecting breakpoints and estimating trend segments in time series data. It is particularly effective in analyzing environmental changes, such as vegetation dynamics, by decomposing time series into meaningful segments. DBEST employs a data-driven approach to identify trend shifts and estimate their magnitude, making it well-suited for applications in remote sensing and ecological monitoring.

has super-classes

Segmentation Method<sup>c</sup>, Transition Point Detection Method<sup>c</sup>

## Episode<sup>c</sup> back to ToC or Class ToC

**IRI:** http://purl.org/sett/vocab#Episode

An Episode is derived from the semantic annotation of a Segment in the Structured Trajectory. It represents a continuous period characterized by a specific behavior or condition, as defined by semantic annotations and descriptive attributes. An Episode ends when an Event occurs, marking a discontinuity in the trajectory.

has super-classes

Thematic Component<sup>c</sup>

is in domain of

episode Is Annotated From<sup>OP</sup>

is in range of

has Episode<sup>OP</sup>
is disjoint with
[Event c](#)

## Episode Behavior Annotation<sup>c</sup> back to ToC or Class ToC

**IRI:** http://purl.org/sett/vocab#EpisodeBehaviorAnnotation

Semantic annotation that qualifies the overall dynamic of an Episode by integrating its temporal extent (short-term, moderate-term, long-term), the magnitude and direction of change (slope), the thematic focus (e.g., vegetation, temperature, population), and its vertical position (value level). This annotation provides an integrated, syntezed and enriched view of how an Indicator changes over the course of the Episode.

has super-classes
[Semantic Annotation c](#)

is disjoint with

[Episode Duration Annotation c](#), [Episode Gradual Magnitude Annotation c](#), [Episode Slope Annotation c](#), [Episode Statistical Significance Annotation c](#), [Episode Thematic Slope Annotation c](#), [Episode Value Level Annotation c](#), [Event Transition Annotation c](#)

## Episode Duration Annotation<sup>c</sup> back to ToC or Class ToC

**IRI:** http://purl.org/sett/vocab#EpisodeDurationAnnotation

Semantic annotation that qualifies the temporal extent of an Episode, categorizing it as short-term, moderate-term, or long-term

has super-classes
[Semantic Annotation c](#)

is disjoint with

[Episode Behavior Annotation c](#), [Episode Gradual Magnitude Annotation c](#), [Episode Slope Annotation c](#), [Episode Statistical Significance Annotation c](#), [Episode Thematic Slope Annotation c](#), [Episode Value Level Annotation c](#), [Event Transition Annotation c](#)

## Episode End Date<sup>c</sup> back to ToC or Class ToC

**IRI:** http://purl.org/sett/vocab#EpisodeEndDate

Episode End Date indicates the date on which an Episode concludes.

has super-classes
[Intrinsic Attribute c](#)

is disjoint with

[Episode Start Date c](#), [Event Date c](#), [Segment Duration c](#), [Segment End X c](#), [Segment End Y c](#), [Segment Slope Direction c](#), [Segment Slope Intercept c](#), [Segment Slope Magnitude c](#), [Segment Start X c](#), [Segment Start Y c](#), [Slice End Observation c](#), [Slice Start Observation c](#), [Slice Total Observations c](#), [Transition Point X c](#), [Transition Point Y c](#)

## Episode Gradual Magnitude Annotation<sup>c</sup> back to ToC or Class ToC

**IRI:** http://purl.org/sett/vocab#EpisodeGradualMagnitudeAnnotation

Semantic annotation that qualifies the overall intensity of change throughout an Episode, based on the slope and duration of its corresponding segment. This gradual magnitude of change is computed as the product of slope magnitude and duration.

has super-classes
[Semantic Annotation c](#)

is disjoint with

[Episode Behavior Annotation c](#), [Episode Duration Annotation c](#), [Episode Slope Annotation c](#), [Episode Statistical Significance Annotation c](#), [Episode Thematic Slope Annotation c](#), [Episode Value Level Annotation c](#), [Event Transition Annotation c](#)
## Episode Slope Annotation<sup>c</sup> back to ToC or Class ToC

**IRI:** http://purl.org/sett/vocab#EpisodeSlopeAnnotation

Semantic annotation for an Episode based on the slope characteristics of its corresponding segment, considering both the slope direction (increase, decrease, or stable) and its magnitude.

has super-classes

Semantic Annotation <sup>c</sup>

is disjoint with

Episode Behavior Annotation <sup>c</sup>, Episode Duration Annotation <sup>c</sup>, Episode Gradual Magnitude Annotation <sup>c</sup>, Episode Statistical Significance Annotation <sup>c</sup>, Episode Thematic Slope Annotation <sup>c</sup>, Episode Value Level Annotation <sup>c</sup>, Event Transition Annotation <sup>c</sup>

## Episode Start Date<sup>c</sup> back to ToC or Class ToC

**IRI:** http://purl.org/sett/vocab#EpisodeStartDate

Episode Start Date indicates the date on which an Episode begins.

has super-classes

Intrinsic Attribute <sup>c</sup>

is disjoint with

Episode End Date <sup>c</sup>, Event Date <sup>c</sup>, Segment Duration <sup>c</sup>, Segment End X <sup>c</sup>, Segment End Y <sup>c</sup>, Segment Slope Direction <sup>c</sup>, Segment Slope Intercept <sup>c</sup>, Segment Slope Magnitude <sup>c</sup>, Segment Start X <sup>c</sup>, Segment Start Y <sup>c</sup>, Slice End Observation <sup>c</sup>, Slice Start Observation <sup>c</sup>, Slice Total Observations <sup>c</sup>, Transition Point X <sup>c</sup>, Transition Point Y <sup>c</sup>

## Episode Statistical Significance Annotation<sup>c</sup> back to ToC or Class ToC

**IRI:** http://purl.org/sett/vocab#EpisodeStatisticalSignificanceAnnotation

Semantic annotation that indicates the statistical confidence in the trend observed during the Episode.

has super-classes

Semantic Annotation <sup>c</sup>

is disjoint with

Episode Behavior Annotation <sup>c</sup>, Episode Duration Annotation <sup>c</sup>, Episode Gradual Magnitude Annotation <sup>c</sup>, Episode Slope Annotation <sup>c</sup>, Episode Thematic Slope Annotation <sup>c</sup>, Episode Value Level Annotation <sup>c</sup>, Event Transition Annotation <sup>c</sup>

## Episode Thematic Slope Annotation<sup>c</sup> back to ToC or Class ToC

**IRI:** http://purl.org/sett/vocab#EpisodeThematicSlopeDirectionAnnotation

Semantic annotation that provides a theme-specific interpretation of an Episode's slope direction—for example, Greening for vegetation, Warming for temperature, or Population Growth for population.

has super-classes

Semantic Annotation <sup>c</sup>

is disjoint with

Episode Behavior Annotation <sup>c</sup>, Episode Duration Annotation <sup>c</sup>, Episode Gradual Magnitude Annotation <sup>c</sup>, Episode Slope Annotation <sup>c</sup>, Episode Statistical Significance Annotation <sup>c</sup>, Episode Value Level Annotation <sup>c</sup>, Event Transition Annotation <sup>c</sup>

## Episode Value Level Annotation<sup>c</sup> back to ToC or Class ToC

**IRI:** http://purl.org/sett/vocab#EpisodeValueLevelAnnotation

Semantic annotation that qualifies the vertical position of an Episode's start or end along the indicator's value axis (i.e., the y-axis). It categorizes this position into levels such as very low, low, moderate, high, or very high.
has super-classes

Semantic Annotation c

is disjoint with

Episode Behavior Annotation c, Episode Duration Annotation c, Episode Gradual Magnitude Annotation c, Episode Slope Annotation c, Episode Statistical Significance Annotation c, Episode Thematic Slope Annotation c, Event Transition Annotation c

## Event<sup>c</sup> back to <u>ToC</u> or <u>Class ToC</u>

**IRI:** http://purl.org/sett/vocab#Event

An Event represents a meaningful change in the trajectory that occurs at a specific moment in time, causing a discontinuity between Episodes in the Thematic Trajectory. It is derived from the semantic annotation of a Transition Point and is described through annotations and attributes that characterize the nature and significance of the transition.

has super-classes

Thematic Component c

is in domain of

event Is Annotated From <sup>OP</sup>, has Explanatory Factor <sup>OP</sup>

is in range of

has Event <sup>OP</sup>

is disjoint with

Episode c

## Event Date<sup>c</sup> back to <u>ToC</u> or <u>Class ToC</u>

**IRI:** http://purl.org/sett/vocab#EventDate

Event Date specifies the date on which an Event took place.

has super-classes

Intrinsic Attribute c

is disjoint with

Episode End Date c, Episode Start Date c, Segment Duration c, Segment End X c, Segment End Y c, Segment Slope Direction c, Segment Slope Intercept c, Segment Slope Magnitude c, Segment Start X c, Segment Start Y c, Slice End Observation c, Slice Start Observation c, Slice Total Observations c, Transition Point X c, Transition Point Y c

## Event Explanatory Factor<sup>c</sup> back to <u>ToC</u> or <u>Class ToC</u>

**IRI:** http://purl.org/sett/vocab#EventExplanatoryFactor

An Event Explanatory Factor refers to a potential driver or context that explains a change observed at a Transition Point, such as a Breakpoint. It may consist of external sources like bibliographic references, URLs, or links to Linked Open Data repositories.

has super-classes

External Attribute c

is in range of

has Explanatory Factor <sup>OP</sup>

is disjoint with

Segment Gradual Magnitude c, Segment p-value c, Transition Point Magnitude c, Transition Point Probability c

## Event Transition Annotation<sup>c</sup> back to <u>ToC</u> or <u>Class ToC</u>

**IRI:** http://purl.org/sett/vocab#EventTransitionAnnotation

Semantic annotation that qualifies both the direction and intensity of change at the Transition Point associated with an Event.

has super-classes
Semantic Annotation <sup>c</sup>

is disjoint with

Episode Behavior Annotation <sup>c</sup>, Episode Duration Annotation <sup>c</sup>, Episode Gradual Magnitude Annotation <sup>c</sup>, Episode Slope Annotation <sup>c</sup>, Episode Statistical Significance Annotation <sup>c</sup>, Episode Thematic Slope Annotation <sup>c</sup>, Episode Value Level Annotation <sup>c</sup>

## External Attribute<sup>c</sup> back to <u>ToC</u> or <u>Class ToC</u>

**IRI:** http://purl.org/sett/vocab#ExternalAttributes

An External Attribute refers to contextual or auxiliary information that enhances the description of a trajectory component. These attributes are not intrinsic to the component itself but may be derived from external analyses, expert input, or supporting datasets.

has super-classes

Attribute <sup>c</sup>

has sub-classes

Event Explanatory Factor <sup>c</sup>, Segment Gradual Magnitude <sup>c</sup>, Segment p-value <sup>c</sup>, Transition Point Magnitude <sup>c</sup>, Transition Point Probability <sup>c</sup>

is in range of

has External Attribute <sup>OP</sup>

is disjoint with

Intrinsic Attribute <sup>c</sup>

## H M M<sup>c</sup> back to <u>ToC</u> or <u>Class ToC</u>

**IRI:** http://purl.org/sett/vocab#HMM

Hidden Markov Models (HMM) are a powerful statistical tool used to model time-series data, particularly when the data evolves through different underlying states that are not directly observable. These "hidden" states represent distinct environmental conditions or phases, and the system transitions between these states over time. For example, in environmental studies, the hidden states might represent different trends in data such as: • Stable Trend: No significant changes in the environmental variable (e.g., temperature, vegetation health). • Increasing Trend: A period of gradual increase in the environmental variable (e.g., warming temperatures, growing vegetation). • Decreasing Trend: A period of gradual decline in the environmental variable (e.g., cooling temperatures, deteriorating vegetation).

has super-classes

Transition Point Detection Method <sup>c</sup>

## Indicator<sup>c</sup> back to <u>ToC</u> or <u>Class ToC</u>

**IRI:** http://purl.org/sett/vocab#Indicator

An Indicator is defined as a quantitative measure that captures the status of a situation or its variations over time.

is in domain of

has Indicator Description <sup>DP</sup>, has Indicator Formula <sup>DP</sup>, takes Data From <sup>OP</sup>

is in range of

monitors Indicator <sup>OP</sup>, takes Data From <sup>OP</sup>

is disjoint with

Attribute <sup>c</sup>, Component <sup>c</sup>, Country <sup>c</sup>, SeTT <sup>c</sup>, Semantic Annotation <sup>c</sup>, Semantic Annotation Criteria <sup>c</sup>, Structuration Method <sup>c</sup>, Study Area <sup>c</sup>, Temporal Granularity <sup>c</sup>, Temporal Scale <sup>c</sup>, Territorial Unit <sup>c</sup>, Theme <sup>c</sup>, Trajectory <sup>c</sup>

## Inflexion Point<sup>c</sup> back to <u>ToC</u> or <u>Class ToC</u>

**IRI:** http://purl.org/sett/vocab#InflexionPoint

An Inflexion Point indicates a subtle change in the trajectory where the direction or curvature shifts gradually, rather than abruptly.
has super-classes

Transition Point c

is disjoint with

Break Point c, Interruption Point c, Regime Change Point c

**Interruption Point**<sup>c</sup> back to **ToC** or **Class ToC**

**IRI:** http://purl.org/sett/vocab#InterruptionPoint

An Interruption Point marks a temporary disruption in the trajectory, such as a short-term deviation that is not sustained.

has super-classes

Transition Point c

is disjoint with

Break Point c, Inflexion Point c, Regime Change Point c

**Intrinsic Attribute**<sup>c</sup> back to **ToC** or **Class ToC**

**IRI:** http://purl.org/sett/vocab#IntrinsicAttributes

An Intrinsic Attribute describes essential characteristics of a trajectory component that are inherent to its structure or behavior.

has super-classes

Attribute c

has sub-classes

Episode End Date c, Episode Start Date c, Event Date c, Segment Duration c, Segment End X c, Segment End Y c, Segment Slope Direction c, Segment Slope Intercept c, Segment Slope Magnitude c, Segment Start X c, Segment Start Y c, Slice End Observation c, Slice Start Observation c, Slice Total Observations c, Transition Point X c, Transition Point Y c

is in range of

has Intrinsic Attribute<sup>OP</sup>

is disjoint with

External Attribute c

**Linear Regression**<sup>c</sup> back to **ToC** or **Class ToC**

**IRI:** http://purl.org/sett/vocab#LinearRegression

Linear regression is a statistical method used to model the relationship between a dependent variable and one or more independent variables by fitting a linear equation to the data. It is commonly used for trend analysis, forecasting, and identifying patterns in datasets. In its simplest form, simple linear regression uses a straight line (y = mx + b) to represent the relationship between two variables, where m is the slope and b is the intercept. Linear regression is widely applied in various fields, including economics, environmental studies, and machine learning, to analyze trends and make predictions.

has super-classes

Segmentation Method c

**Linear Segment**<sup>c</sup> back to **ToC** or **Class ToC**

**IRI:** http://purl.org/sett/vocab#LinearSegment

A Linear Segment is a type of Segment where the data follows a linear trend over time.

has super-classes

Segment c

is disjoint with

Non Linear Segment c, State Segment c

**Non Linear Segment**<sup>c</sup> back to **ToC** or **Class ToC**
**IRI:** http://purl.org/sett/vocab#NonLinearSegment

A Non Linear Segment is a type of Segment where the data shows a non-linear pattern over time, such as seasonal or cyclical behavior.

has super-classes

[Segment] c

is disjoint with

[Linear Segment] c, [State Segment] c

**P E L T<sup>c</sup> back to [ToC] or [Class ToC]**

**IRI:** http://purl.org/sett/vocab#PELT

The PELT (Pruned Exact Linear Time Algorithm) algorithm is designed to identify the most optimal segmentation of time series data by minimizing a penalized cost function. The method is particularly effective in providing an accurate segmentation while ensuring efficient computational performance.

has super-classes

[Transition Point Detection Method] c

**Piecewise Regression<sup>c</sup> back to [ToC] or [Class ToC]**

**IRI:** http://purl.org/sett/vocab#PiecewiseRegression

Piecewise Regression is a statistical technique used to model time series data by dividing it into multiple segments and fitting separate regression models to each segment. Unlike simple linear regression, which assumes a single trend across all observations, piecewise regression allows for structural changes, making it useful for detecting breakpoints and modeling non-linear trends in time series data. It is widely applied in environmental monitoring, remote sensing, and economic trend analysis.

has super-classes

[Segmentation Method] c

**Raw Component<sup>c</sup> back to [ToC] or [Class ToC]**

**IRI:** http://purl.org/sett/vocab#RawComponent

A Raw Component is a type of Component used to build a Raw Trajectory.

has super-classes

[Component] c

has sub-classes

[Slice] c

is disjoint with

[Structured Component] c, [Thematic Component] c

**Raw Trajectory<sup>c</sup> back to [ToC] or [Class ToC]**

**IRI:** http://purl.org/sett/vocab#RawTrajectory

A Raw Trajectory consists of a time series that tracks changes in domain-specific indicators for a Territorial Unit (TU). The time series is integrated into the Linked Open Data (LOD) Cloud using the Slice component of the RDF Data Cube vocabulary, and is organized along Time, Space, and Indicator dimensions.

has super-classes

[Trajectory] c

is in domain of

[has Slice] op, [has Total Slices] dp, [monitors Indicator] op

is disjoint with

[Structured Trajectory] c, [Thematic Trajectory] c
## Regime Change Point<sup>c</sup> back to <u>ToC</u> or <u>Class ToC</u>

**IRI:** http://purl.org/sett/vocab#RegimeChangePoint

A Regime Change Point signals a transition between two distinct states or regimes in the data, characterized by long-term structural differences.

has super-classes

<u>Transition Point</u> <sup>c</sup>

is disjoint with

<u>Break Point</u> <sup>c</sup>, <u>Inflexion Point</u> <sup>c</sup>, <u>Interruption Point</u> <sup>c</sup>

## Segment<sup>c</sup> back to <u>ToC</u> or <u>Class ToC</u>

**IRI:** http://purl.org/sett/vocab#Segment

A Segment is a continuous part of a trajectory where the data follows a consistent pattern. It has attributes that enhance its description, such as init, end, and slope. A Segment may start or end at a Transition Point, depending on how the trajectory is structured.

has super-classes

<u>Structured Component</u> <sup>c</sup>

has sub-classes

<u>Linear Segment</u> <sup>c</sup>, <u>Non Linear Segment</u> <sup>c</sup>, <u>State Segment</u> <sup>c</sup>

is in domain of

<u>segment Is Derivated From</u> <sup>OP</sup>

is in range of

<u>episode Is Annotated From</u> <sup>OP</sup>, <u>has Segment</u> <sup>OP</sup>

is disjoint with

<u>Transition Point</u> <sup>c</sup>

## Segment Duration<sup>c</sup> back to <u>ToC</u> or <u>Class ToC</u>

**IRI:** http://purl.org/sett/vocab#SegmentDuration

Segment Duration refers to the number of observations that make up a Segment, indicating how long the segment lasts in the time series.

has super-classes

<u>Intrinsic Attribute</u> <sup>c</sup>

is disjoint with

<u>Episode End Date</u> <sup>c</sup>, <u>Episode Start Date</u> <sup>c</sup>, <u>Event Date</u> <sup>c</sup>, <u>Segment End X</u> <sup>c</sup>, <u>Segment End Y</u> <sup>c</sup>, <u>Segment Slope Direction</u> <sup>c</sup>, <u>Segment Slope Intercept</u> <sup>c</sup>, <u>Segment Slope Magnitude</u> <sup>c</sup>, <u>Segment Start X</u> <sup>c</sup>, <u>Segment Start Y</u> <sup>c</sup>, <u>Slice End Observation</u> <sup>c</sup>, <u>Slice Start Observation</u> <sup>c</sup>, <u>Slice Total Observations</u> <sup>c</sup>, <u>Transition Point X</u> <sup>c</sup>, <u>Transition Point Y</u> <sup>c</sup>

## Segment End X<sup>c</sup> back to <u>ToC</u> or <u>Class ToC</u>

**IRI:** http://purl.org/sett/vocab#SegmentEndX

Segment End X specifies the x-coordinate, i.e., the time value, that marks the end of a segment.

has super-classes

<u>Intrinsic Attribute</u> <sup>c</sup>

is disjoint with

<u>Episode End Date</u> <sup>c</sup>, <u>Episode Start Date</u> <sup>c</sup>, <u>Event Date</u> <sup>c</sup>, <u>Segment Duration</u> <sup>c</sup>, <u>Segment End Y</u> <sup>c</sup>, <u>Segment Slope Direction</u> <sup>c</sup>, <u>Segment Slope Intercept</u> <sup>c</sup>, <u>Segment Slope Magnitude</u> <sup>c</sup>, <u>Segment Start X</u> <sup>c</sup>, <u>Segment Start Y</u> <sup>c</sup>, <u>Slice End Observation</u> <sup>c</sup>, <u>Slice Start Observation</u> <sup>c</sup>, <u>Slice Total Observations</u> <sup>c</sup>, <u>Transition Point X</u> <sup>c</sup>, <u>Transition Point Y</u> <sup>c</sup>

## Segment End Y<sup>c</sup> back to <u>ToC</u> or <u>Class ToC</u>
**IRI:** http://purl.org/sett/vocab#SegmentEndY

Segment End Y specifies the y-coordinate, i.e., the measured value, marking the end of a Segment.

has super-classes

Intrinsic Attribute <sup>c</sup>

is disjoint with

Episode End Date <sup>c</sup>, Episode Start Date <sup>c</sup>, Event Date <sup>c</sup>, Segment Duration <sup>c</sup>, Segment End X <sup>c</sup>, Segment Slope Direction <sup>c</sup>

, Segment Slope Intercept <sup>c</sup>, Segment Slope Magnitude <sup>c</sup>, Segment Start X <sup>c</sup>, Segment Start Y <sup>c</sup>, Slice End Observation <sup>c</sup>

, Slice Start Observation <sup>c</sup>, Slice Total Observations <sup>c</sup>, Transition Point X <sup>c</sup>, Transition Point Y <sup>c</sup>

## Segment Gradual Magnitude<sup>c</sup> back to <u>ToC</u> or <u>Class ToC</u>

**IRI:** http://purl.org/sett/vocab#SegmentGradualMagnitude

Segment Gradual Magnitude describes the overall strength of change within a segment, such as a Linear Trend. It is computed by multiplying the slope magnitude by the segment duration.

has super-classes

External Attribute <sup>c</sup>

is disjoint with

Event Explanatory Factor <sup>c</sup>, Segment p-value <sup>c</sup>, Transition Point Magnitude <sup>c</sup>, Transition Point Probability <sup>c</sup>

## Segment p-value<sup>c</sup> back to <u>ToC</u> or <u>Class ToC</u>

**IRI:** http://purl.org/sett/vocab#SegmentPValue

Segment p-value indicates the statistical significance of a segment's trend, such as in a Linear Segment. It reflects the confidence level of the detected change.

has super-classes

External Attribute <sup>c</sup>

is disjoint with

Event Explanatory Factor <sup>c</sup>, Segment Gradual Magnitude <sup>c</sup>, Transition Point Magnitude <sup>c</sup>, Transition Point Probability <sup>c</sup>

, Transition Point <sup>c</sup>

## Segment Slope Direction<sup>c</sup> back to <u>ToC</u> or <u>Class ToC</u>

**IRI:** http://purl.org/sett/vocab#SegmentSlopeDirection

Segment Slope Direction indicates whether the slope of a Trend Segment is increasing, decreasing, or flat.

has super-classes

Intrinsic Attribute <sup>c</sup>

is disjoint with

Episode End Date <sup>c</sup>, Episode Start Date <sup>c</sup>, Event Date <sup>c</sup>, Segment Duration <sup>c</sup>, Segment End X <sup>c</sup>, Segment End Y <sup>c</sup>

, Segment Slope Intercept <sup>c</sup>, Segment Slope Magnitude <sup>c</sup>, Segment Start X <sup>c</sup>, Segment Start Y <sup>c</sup>, Slice End Observation <sup>c</sup>

, Slice Start Observation <sup>c</sup>, Slice Total Observations <sup>c</sup>, Transition Point X <sup>c</sup>, Transition Point Y <sup>c</sup>

## Segment Slope Intercept<sup>c</sup> back to <u>ToC</u> or <u>Class ToC</u>

**IRI:** http://purl.org/sett/vocab#SegmentSlopeIntercept

Segment Slope Intercept is the y-value at which a linear trend line intersects the y-axis, representing the expected value when x is zero.

has super-classes

Intrinsic Attribute <sup>c</sup>

is disjoint with

Episode End Date <sup>c</sup>, Episode Start Date <sup>c</sup>, Event Date <sup>c</sup>, Segment Duration <sup>c</sup>, Segment End X <sup>c</sup>, Segment End Y <sup>c</sup>
Segment Slope Direction c, Segment Slope Magnitude c, Segment Start X c, Segment Start Y c, Slice End Observation c, Slice Start Observation c, Slice Total Observations c, Transition Point X c, Transition Point Y c

## Segment Slope Magnitude<sup>c</sup> back to <u>ToC</u> or <u>Class ToC</u>

**IRI:** http://purl.org/sett/vocab#SegmentSlopeMagnitude

Segment Slope Magnitude represents the absolute value of the slope of a linear segment, indicating the strength of change regardless of direction.

has super-classes

<u>Intrinsic Attribute</u> <sup>c</sup>

is disjoint with

<u>Episode End Date</u> c, <u>Episode Start Date</u> c, <u>Event Date</u> c, <u>Segment Duration</u> c, <u>Segment End X</u> c, <u>Segment End Y</u> c, <u>Segment Slope Direction</u> c, <u>Segment Slope Intercept</u> c, <u>Segment Start X</u> c, <u>Segment Start Y</u> c, <u>Slice End Observation</u> c, <u>Slice Start Observation</u> c, <u>Slice Total Observations</u> c, <u>Transition Point X</u> c, <u>Transition Point Y</u> c

## Segment Start X<sup>c</sup> back to <u>ToC</u> or <u>Class ToC</u>

**IRI:** http://purl.org/sett/vocab#SegmentStartX

Segment Start X specifies the x-coordinate, i.e., the time value, that marks the start of a segment.

has super-classes

<u>Intrinsic Attribute</u> <sup>c</sup>

is disjoint with

<u>Episode End Date</u> c, <u>Episode Start Date</u> c, <u>Event Date</u> c, <u>Segment Duration</u> c, <u>Segment End X</u> c, <u>Segment End Y</u> c, <u>Segment Slope Direction</u> c, <u>Segment Slope Intercept</u> c, <u>Segment Slope Magnitude</u> c, <u>Segment Start Y</u> c, <u>Slice End Observation</u> c, <u>Slice Start Observation</u> c, <u>Slice Total Observations</u> c, <u>Transition Point X</u> c, <u>Transition Point Y</u> c

## Segment Start Y<sup>c</sup> back to <u>ToC</u> or <u>Class ToC</u>

**IRI:** http://purl.org/sett/vocab#SegmentStartY

Segment Start Y specifies the y-coordinate, i.e., the measured value, marking the start of a Segment.

has super-classes

<u>Intrinsic Attribute</u> <sup>c</sup>

is disjoint with

<u>Episode End Date</u> c, <u>Episode Start Date</u> c, <u>Event Date</u> c, <u>Segment Duration</u> c, <u>Segment End X</u> c, <u>Segment End Y</u> c, <u>Segment Slope Direction</u> c, <u>Segment Slope Intercept</u> c, <u>Segment Slope Magnitude</u> c, <u>Segment Start X</u> c, <u>Slice End Observation</u> c, <u>Slice Start Observation</u> c, <u>Slice Total Observations</u> c, <u>Transition Point X</u> c, <u>Transition Point Y</u> c

## Segmentation Method<sup>c</sup> back to <u>ToC</u> or <u>Class ToC</u>

**IRI:** http://purl.org/sett/vocab#SegmentationMethod

A Segmentation Method is a technique used to divide a time series into meaningful segments, typically based on patterns such as trends or value stability. These methods help identify consistent intervals within the data where the behavior remains relatively uniform.

has super-classes

<u>Structuration Method</u> <sup>c</sup>

has sub-classes

<u>BFAST</u> c, <u>BFAST Lite</u> c, <u>BFAST Monitor</u> c, <u>Binseg</u> c, <u>DBEST</u> c, <u>Linear Regression</u> c, <u>Piecewise Regression</u> c

is in range of

<u>calculated Using Segment Method</u> <sup>op</sup>
Semantic Annotation<sup>c</sup> back to <u>ToC</u> or <u>Class ToC</u>

IRI: http://purl.org/sett/vocab#SemanticAnnotation

A Semantic Annotation enriches a Thematic component—such as an Episode or Event—by linking it to a meaningful concept, typically defined in a controlled vocabulary or ontology.

has sub-classes

Episode Behavior Annotation<sup>c</sup>, Episode Duration Annotation<sup>c</sup>, Episode Gradual Magnitude Annotation<sup>c</sup>, Episode Slope Annotation<sup>c</sup>, Episode Statistical Significance Annotation<sup>c</sup>, Episode Thematic Slope Annotation<sup>c</sup>, Episode Value Level Annotation<sup>c</sup>, Event Transition Annotation<sup>c</sup>

is in domain of

semantic Annotation Based On Attribute <sup>OP</sup>

is in range of

defines Criteria For <sup>OP</sup>, has Semantic Annotation <sup>OP</sup>

is disjoint with

Attribute<sup>c</sup>, Component<sup>c</sup>, Country<sup>c</sup>, Indicator<sup>c</sup>, SeTT<sup>c</sup>, Semantic Annotation Criteria<sup>c</sup>, Structuration Method<sup>c</sup>, Study Area<sup>c</sup>, Temporal Granularity<sup>c</sup>, Temporal Scale<sup>c</sup>, Territorial Unit<sup>c</sup>, Theme<sup>c</sup>, Trajectory<sup>c</sup>

Semantic Annotation Criteria<sup>c</sup> back to <u>ToC</u> or <u>Class ToC</u>

IRI: http://purl.org/sett/vocab#SemanticAnnotationCriteria

Semantic annotation criteria define the formal conditions and/or thresholds used to determine how specific annotations are assigned and interpreted. They may also specify the method applied to derive the annotation. These parameter selections are applied consistently across all annotations related to the thematic components—Episodes and Events—of the Thematic Trajectories.

is in domain of

defines Criteria For <sup>OP</sup>, has Annotation Criteria Description <sup>dp</sup>

is in range of

has Semantic Annotation Criteria <sup>OP</sup>

is disjoint with

Attribute<sup>c</sup>, Component<sup>c</sup>, Country<sup>c</sup>, Indicator<sup>c</sup>, SeTT<sup>c</sup>, Semantic Annotation<sup>c</sup>, Structuration Method<sup>c</sup>, Study Area<sup>c</sup>, Temporal Granularity<sup>c</sup>, Temporal Scale<sup>c</sup>, Territorial Unit<sup>c</sup>, Theme<sup>c</sup>, Trajectory<sup>c</sup>

SeTT<sup>c</sup> back to <u>ToC</u> or <u>Class ToC</u>

IRI: http://purl.org/sett/vocab#SeTT

A SeTT (Semantic Trajectory of a Territorial Unit) represents a collection of Thematic Trajectories describing the evolution of a Territorial Unit across one or more domains. It serves as an abstract structure capable of grouping Thematic Trajectories from different themes. A Territorial Unit may be associated with one or more SeTTs.

has super-classes

is in domain of

has Broader Theme <sup>OP</sup>, has Thematic Trajectory <sup>OP</sup>

is in range of

has SeTT <sup>OP</sup>

is disjoint with

Attribute<sup>c</sup>, Component<sup>c</sup>, Country<sup>c</sup>, Indicator<sup>c</sup>, Semantic Annotation<sup>c</sup>, Semantic Annotation Criteria<sup>c</sup>, Structuration Method<sup>c</sup>, Study Area<sup>c</sup>, Temporal Granularity<sup>c</sup>, Temporal Scale<sup>c</sup>, Territorial Unit<sup>c</sup>, Theme<sup>c</sup>, Trajectory<sup>c</sup>

Slice<sup>c</sup> back to <u>ToC</u> or <u>Class ToC</u>

IRI: http://purl.org/sett/vocab#Slice

A Slice represents a portion of raw data defined as a Slice in the RDF Data Cube vocabulary. It is used to compute
Segments in the Structured Trajectory.

has super-classes

Raw Component <sup>c</sup>

is in range of

has Slice <sup>oP</sup>, segment Is Derivated From <sup>oP</sup>, transition Point Delimit Slice <sup>oP</sup>

## Slice End Observation<sup>c</sup> back to <u>ToC</u> or <u>Class ToC</u>

**IRI:** http://purl.org/sett/vocab#SliceEndObservation

Slice End Observation identifies the final observation included in a Slice.

has super-classes

Intrinsic Attribute <sup>c</sup>

is disjoint with

Episode End Date <sup>c</sup>, Episode Start Date <sup>c</sup>, Event Date <sup>c</sup>, Segment Duration <sup>c</sup>, Segment End X <sup>c</sup>, Segment End Y <sup>c</sup>, Segment Slope Direction <sup>c</sup>, Segment Slope Intercept <sup>c</sup>, Segment Slope Magnitude <sup>c</sup>, Segment Start X <sup>c</sup>, Segment Start Y <sup>c</sup>, Slice Start Observation <sup>c</sup>, Slice Total Observations <sup>c</sup>, Transition Point X <sup>c</sup>, Transition Point Y <sup>c</sup>

## Slice Start Observation<sup>c</sup> back to <u>ToC</u> or <u>Class ToC</u>

**IRI:** http://purl.org/sett/vocab#SliceStartObservation

Slice Start Observation identifies the first observation included in a Slice.

has super-classes

Intrinsic Attribute <sup>c</sup>

is disjoint with

Episode End Date <sup>c</sup>, Episode Start Date <sup>c</sup>, Event Date <sup>c</sup>, Segment Duration <sup>c</sup>, Segment End X <sup>c</sup>, Segment End Y <sup>c</sup>, Segment Slope Direction <sup>c</sup>, Segment Slope Intercept <sup>c</sup>, Segment Slope Magnitude <sup>c</sup>, Segment Start X <sup>c</sup>, Segment Start Y <sup>c</sup>, Slice End Observation <sup>c</sup>, Slice Total Observations <sup>c</sup>, Transition Point X <sup>c</sup>, Transition Point Y <sup>c</sup>

## Slice Total Observations<sup>c</sup> back to <u>ToC</u> or <u>Class ToC</u>

**IRI:** http://purl.org/sett/vocab#SliceTotalObservations

Slice Total Observations indicates the number of observations contained in a Slice.

has super-classes

Intrinsic Attribute <sup>c</sup>

is disjoint with

Episode End Date <sup>c</sup>, Episode Start Date <sup>c</sup>, Event Date <sup>c</sup>, Segment Duration <sup>c</sup>, Segment End X <sup>c</sup>, Segment End Y <sup>c</sup>, Segment Slope Direction <sup>c</sup>, Segment Slope Intercept <sup>c</sup>, Segment Slope Magnitude <sup>c</sup>, Segment Start X <sup>c</sup>, Segment Start Y <sup>c</sup>, Slice End Observation <sup>c</sup>, Slice Start Observation <sup>c</sup>, Transition Point X <sup>c</sup>, Transition Point Y <sup>c</sup>

## State Segment<sup>c</sup> back to <u>ToC</u> or <u>Class ToC</u>

**IRI:** http://purl.org/sett/vocab#StateSegment

A State Segment is a type of Segment where the data remains relatively stable over time, with no significant trends or seasonal patterns. It typically represents a steady state or period of minimal change.

has super-classes

Segment <sup>c</sup>

is disjoint with

Linear Segment <sup>c</sup>, Non Linear Segment <sup>c</sup>

## Structuration Method<sup>c</sup> back to <u>ToC</u> or <u>Class ToC</u>
**IRI:** http://purl.org/sett/vocab#StructurationMethod

A Structuration Method is a technique used to give structure to a time series by identifying meaningful components, such as Segments and Transition Points.

has sub-classes

Segmentation Method c, Transition Point Detection Method c

is in domain of

has Structuration Method Description dp

is disjoint with

Attribute c, Component c, Country c, Indicator c, SeTT c, Semantic Annotation c, Semantic Annotation Criteria c,
Study Area c, Temporal Granularity c, Temporal Scale c, Territorial Unit c, Theme c, Trajectory c

**Structured Component**<sup>c</sup> back to **ToC** or **Class ToC**

**IRI:** http://purl.org/sett/vocab#StructuredComponent

A Structured Component is a type of Component used to build a Structured Trajectory.

has super-classes

Component c

has sub-classes

Segment c, Transition Point c

is disjoint with

Raw Component c, Thematic Component c

**Structured Trajectory**<sup>c</sup> back to **ToC** or **Class ToC**

**IRI:** http://purl.org/sett/vocab#StructuredTrajectory

A Structured Trajectory results from organizing a Raw trajectory into a more structured format. It alternates between a chronologically ordered sequence of Segments and Transition Points, always concluding with a Segment. If no Transition Point is detected, the Structured Trajectory consists solely of a single Segment, indicating no transitional changes within the sequence.

has super-classes

Trajectory c

is in domain of

calculated Using Segment Method <sup>OP</sup>, calculated Using Transition Point Method <sup>OP</sup>, has Segment <sup>OP</sup>, has Total Segments <sup>DP</sup>, has Total Transition Points <sup>DP</sup>, has Transition Point <sup>OP</sup>

is disjoint with

Raw Trajectory c, Thematic Trajectory c

**Study Area**<sup>c</sup> back to **ToC** or **Class ToC**

**IRI:** http://purl.org/sett/vocab#StudyArea

A Study Area defines the broader geographical context in which one or more Territorial Units are analyzed.

is in range of

study Area <sup>OP</sup>

is disjoint with

Attribute c, Component c, Country c, Indicator c, SeTT c, Semantic Annotation c, Semantic Annotation Criteria c,
Structuration Method c, Temporal Granularity c, Temporal Scale c, Territorial Unit c, Theme c, Trajectory c

**Temporal Granularity**<sup>c</sup> back to **ToC** or **Class ToC**

**IRI:** http://purl.org/sett/vocab#TemporalGranularity

Indicates how often measured values occur in a Thematic trajectory. It describes the temporal resolution of the data, such as
daily, monthly, or yearly intervals.

is in range of

has Temporal Granularity op

is disjoint with

Attribute c, Component c, Country c, Indicator c, SeTT c, Semantic Annotation c, Semantic Annotation Criteria c, Structuration Method c, Study Area c, Temporal Scale c, Territorial Unit c, Theme c, Trajectory c

**Temporal Scale**<sup>c</sup> back to **ToC** or **Class ToC**

**IRI:** http://purl.org/sett/vocab#TemporalScale

Defines the temporal coverage of a thematic trajectory by specifying the time of year it represents. Examples include
Winter, Spring, Summer, Autumn or All Seasons.

is in range of

has Temporal Scale op

is disjoint with

Attribute c, Component c, Country c, Indicator c, SeTT c, Semantic Annotation c, Semantic Annotation Criteria c, Structuration Method c, Study Area c, Temporal Granularity c, Territorial Unit c, Theme c, Trajectory c

**Territorial Unit**<sup>c</sup> back to **ToC** or **Class ToC**

**IRI:** http://purl.org/sett/vocab#TerritorialUnit

A Territorial Unit (TU) represents a geographically defined area, typically aligned with the lowest level of administrative
division (e.g., municipalities, sub-districts, or townships). Although spatially fixed, a TU may undergo changes over time
due to environmental or socioeconomic dynamics. To manage temporal variations in boundary definitions, the ontology
reuses the tsn:UnitVersion class from the TSN ontology, which captures stable representations of a Territorial Unit during
specific periods. Each TU is associated with one or more Semantic Trajectories of Territorial Transformation (SeTTs).

has super-classes

is in domain of

area In H An Lake dp, area In M2 dp, country op, has Se T T op, max Elevation Meters dp, max Slope Degrees dp, mean Elevation Meters dp, mean Slope Degrees dp, min Elevation Meters dp, min Slope Degrees dp, std Elevation Meters dp, std Slope Degrees dp, study Area op, total Area In M2 dp

is disjoint with

Attribute c, Component c, Country c, Indicator c, SeTT c, Semantic Annotation c, Semantic Annotation Criteria c, Structuration Method c, Study Area c, Temporal Granularity c, Temporal Scale c, Theme c, Trajectory c

**Thematic Component**<sup>c</sup> back to **ToC** or **Class ToC**

**IRI:** http://purl.org/sett/vocab#ThematicComponent

A Thematic Component is a type of Component used to build a Thematic Trajectory.

has super-classes

Component c

has sub-classes

Episode c, Event c

is in domain of

has Semantic Annotation op

is disjoint with

Raw Component c, Structured Component c

**Thematic Trajectory**<sup>c</sup> back to **ToC** or **Class ToC**

**IRI:** http://purl.org/sett/vocab#ThematicTrajectory

A Thematic Trajectory is a semantically enriched representation of a Territorial Unit's (TU) trajectory, associated with a
specific theme. It is derived from the annotation of a Structured Trajectory and alternates between a chronologically ordered sequence of Episodes and Events, always concluding with an Episode. A Thematic Trajectory consists solely of a single Episode if no Event is present.

has super-classes
[**Trajectory** c]

is in domain of
[**has Episode** op, **has Event** op, **has Semantic Annotation Criteria** op, **has Temporal Granularity** op, **has Temporal Scale** op, **has Theme** op, **has Total Episodes** dp, **has Total Events** dp]

is in range of
[**has Thematic Trajectory** op]

is disjoint with
[**Raw Trajectory** c, **Structured Trajectory** c]

## Theme<sup>c</sup> back to <u>ToC</u> or <u>Class ToC</u>

**IRI:** http://purl.org/sett/vocab#Theme

A Theme characterizes the subject of a Thematic trajectory, providing a descriptive label for the whole trajectory.

is in range of
[**has Broader Theme** op, **has Theme** op]

is disjoint with
[**Attribute** c, **Component** c, **Country** c, **Indicator** c, **SeTT** c, **Semantic Annotation** c, **Semantic Annotation Criteria** c, **Structuration Method** c, **Study Area** c, **Temporal Granularity** c, **Temporal Scale** c, **Territorial Unit** c, **Trajectory** c]

## Trajectory<sup>c</sup> back to <u>ToC</u> or <u>Class ToC</u>

**IRI:** http://purl.org/sett/vocab#Trajectory

A Trajectory represents the synthesized temporal evolution of a Territorial Unit (TU) based on observed data. It serves as an abstract concept that underlies the Raw, Structured, and Thematic trajectories, providing a unified view of change over time.

has sub-classes
[**Raw Trajectory** c, **Structured Trajectory** c, **Thematic Trajectory** c]

is disjoint with
[**Attribute** c, **Component** c, **Country** c, **Indicator** c, **SeTT** c, **Semantic Annotation** c, **Semantic Annotation Criteria** c, **Structuration Method** c, **Study Area** c, **Temporal Granularity** c, **Temporal Scale** c, **Territorial Unit** c, **Theme** c]

## Transition Point<sup>c</sup> back to <u>ToC</u> or <u>Class ToC</u>

**IRI:** http://purl.org/sett/vocab#TransitionPoint

A Transition Point represents a change in the trajectory that causes a discontinuity between Segments or Slices. It occurs at a specific moment in time and is described using attributes that characterize the nature of the transition.

has super-classes
[**Structured Component** c]

has sub-classes
[**Break Point** c, **Inflexion Point** c, **Interruption Point** c, **Regime Change Point** c]

is in domain of
[**transition Point Delimit Slice** op]

is in range of
[**event Is Annotated From** op, **has Transition Point** op]

is disjoint with
[**Segment** c]

## Transition Point Detection Method<sup>c</sup> back to <u>ToC</u> or <u>Class ToC</u>
**IRI:** http://purl.org/sett/vocab#TransitionPointDetectionMethod

A Transition Point Detection Method is a technique used to detect changes in a time series by identifying Transition Points, such as Break Points or Inflexion Points. These methods analyze patterns in the data to determine when significant shifts occur.

has super-classes

Structuration Method c

has sub-classes

BEASTc, BFASTc, BFASTLite c, BFASTMonitor c, Binseg c, CCDC c, DBESTc, HMMc, PELTc

is in range of

calculated Using Transition Point Method op

**Transition Point Magnitude**<sup>c</sup> back to **ToC** or **Class ToC**

**IRI:** http://purl.org/sett/vocab#TransitionPointMagnitude

Transition Point Magnitude quantifies the intensity of change at a Transition Point, such as a Breakpoint. It is computed as the difference between the value at the point and the value immediately before or after it, depending on how the segment is defined.

has super-classes

External Attribute c

is disjoint with

Event Explanatory Factor c, Segment Gradual Magnitude c, Segment p-value c, Transition Point Probability c

**Transition Point Probability**<sup>c</sup> back to **ToC** or **Class ToC**

**IRI:** http://purl.org/sett/vocab#TransitionPointProbability

Transition Point Probability expresses the likelihood that a Transition Point has occurred, based on statistical analysis.

has super-classes

External Attribute c

is disjoint with

Event Explanatory Factor c, Segment Gradual Magnitude c, Segment p-value c, Transition Point Magnitude c

**Transition Point X**<sup>c</sup> back to **ToC** or **Class ToC**

**IRI:** http://purl.org/sett/vocab#TransitionPointX

Transition Point X denotes the x-coordinate, i.e., time value, where a Transition Point occurs in the trajectory.

has super-classes

Intrinsic Attribute c

is disjoint with

Episode End Date c, Episode Start Date c, Event Date c, Segment Duration c, Segment End X c, Segment End Y c, Segment Slope Direction c, Segment Slope Intercept c, Segment Slope Magnitude c, Segment Start X c, Segment Start Y c, Slice End Observation c, Slice Start Observation c, Slice Total Observations c, Transition Point Y c

**Transition Point Y**<sup>c</sup> back to **ToC** or **Class ToC**

**IRI:** http://purl.org/sett/vocab#TransitionPointY

Transition Point Y denotes the y-coordinate, i.e., the measured value, at which a Transition Point occurs in the trajectory.

has super-classes

Intrinsic Attribute c

is disjoint with
Episode End Date c, Episode Start Date c, Event Date c, Segment Duration c, Segment End X c, Segment End Y c, Segment Slope Direction c, Segment Slope Intercept c, Segment Slope Magnitude c, Segment Start X c, Segment Start Y c, Slice End Observation c, Slice Start Observation c, Slice Total Observations c, Transition Point X c

## Object Properties

* calculated Using Segment Method

* calculated Using Transition Point Method

* country

* defines Criteria For

* episode Is Annotated From

* event Is Annotated From

* gives Data To

* has Attribute

* has Broader Theme

* has Episode

* has Event

* has Explanatory Factor

* has External Attribute

* has Intrinsic Attribute

* has Se T T

* has Segment

* has Semantic Annotation

* has Semantic Annotation Criteria

* has Slice

* has Temporal Granularity

* has Temporal Scale

* has Thematic Trajectory

* has Theme

* has Transition Point

* indicator Monitored By

* is Attribute Of Semantic Annotation

* Is Event Of

* is External Attribute Of

* is Intrinsic Attribute Of

* is Study Area Of

* monitors Indicator

* segment Is Derivated From

* semantic Annotation Based On Attribute

* slice Delimited By

* study Area

* takes Data From

* transition Point Delimit Slice

## calculated Using Segment Method<sup>oP</sup> back to ToC or Object Property ToC

IRI: http://purl.org/sett/vocab#calculatedUsingSegmentMethod

has domain

Structured Trajectory c

has range

Segmentation Method c

is inverse of

is Used As Segment Method For <sup>oP</sup>

## calculated Using Transition Point Method<sup>oP</sup> back to ToC or Object Property ToC
**IRI:** http://purl.org/sett/vocab#calculatedUsingTransitionPointMethod

has domain

[Structured Trajectory]^{c}

has range

[Transition Point Detection Method]^{c}

is inverse of

[is Used As Transition Point Method For]^{OP}

**country**<sup>OP</sup> back to **ToC** or **Object Property ToC**

**IRI:** http://purl.org/sett/vocab#country

has domain

[Territorial Unit]^{c}

has range

[Country]^{c}

is inverse of

[is Country Of]^{OP}

**defines Criteria For**<sup>OP</sup> back to **ToC** or **Object Property ToC**

**IRI:** http://purl.org/sett/vocab#definesCriteriaFor

has domain

[Semantic Annotation Criteria]^{c}

has range

[Semantic Annotation]^{c}

is inverse of

[is Defined By Criteria]^{OP}

**episode Is Annotated From**<sup>OP</sup> back to **ToC** or **Object Property ToC**

**IRI:** http://purl.org/sett/vocab#episodeIsAnnotatedFrom

has domain

[Episode]^{c}

has range

[Segment]^{c}

is inverse of

[segment Annotates Episode]^{OP}

**event Is Annotated From**<sup>OP</sup> back to **ToC** or **Object Property ToC**

**IRI:** http://purl.org/sett/vocab#eventIsAnnotatedFrom

has domain

[Event]^{c}

has range

[Transition Point]^{c}

is inverse of

[transition Point Annotates Event]^{OP}

**gives Data To**<sup>OP</sup> back to **ToC** or **Object Property ToC**

**IRI:** http://purl.org/sett/vocab#givesDataTo

is inverse of

[takes Data From]^{OP}
## has Attribute<sup>OP</sup> back to <u>ToC</u> or <u>Object Property ToC</u>

**IRI:** http://purl.org/sett/vocab#hasAttribute

has sub-properties

has External Attribute<sup>OP</sup>, has Intrinsic Attribute<sup>OP</sup>

has domain

Component<sup>c</sup>

has range

Attribute<sup>c</sup>

is inverse of

is Attribute Of<sup>OP</sup>

## has Broader Theme<sup>OP</sup> back to <u>ToC</u> or <u>Object Property ToC</u>

**IRI:** http://purl.org/sett/vocab#hasBroaderTheme

has domain

SeTT<sup>c</sup>

has range

Theme<sup>c</sup>

is inverse of

is Broader Theme Of<sup>OP</sup>

## has Episode<sup>OP</sup> back to <u>ToC</u> or <u>Object Property ToC</u>

**IRI:** http://purl.org/sett/vocab#hasEpisode

has domain

Thematic Trajectory<sup>c</sup>

has range

Episode<sup>c</sup>

is inverse of

is Episode Of<sup>OP</sup>

## has Event<sup>OP</sup> back to <u>ToC</u> or <u>Object Property ToC</u>

**IRI:** http://purl.org/sett/vocab#hasEvent

has domain

Thematic Trajectory<sup>c</sup>

has range

Event<sup>c</sup>

is inverse of

is Event Of<sup>OP</sup>

## has Explanatory Factor<sup>OP</sup> back to <u>ToC</u> or <u>Object Property ToC</u>

**IRI:** http://purl.org/sett/vocab#hasExplanatoryFactor

has domain

Event<sup>c</sup>

has range

Event Explanatory Factor<sup>c</sup>

is inverse of

is Explanatory Factor Of<sup>OP</sup>

## has External Attribute<sup>OP</sup> back to <u>ToC</u> or <u>Object Property ToC</u>
**IRI:** http://purl.org/sett/vocab#hasExternalAttribute

has super-properties

has Attribute <sup>OP</sup>

has domain

Component <sup>c</sup>

has range

External Attribute <sup>c</sup>

is inverse of

is External Attribute Of <sup>OP</sup>

**has Intrinsic Attribute<sup>OP</sup> back to ToC or Object Property ToC**

**IRI:** http://purl.org/sett/vocab#hasIntrinsicAttribute

has super-properties

has Attribute <sup>OP</sup>

has domain

Component <sup>c</sup>

has range

Intrinsic Attribute <sup>c</sup>

is inverse of

is Intrinsic Attribute Of <sup>OP</sup>

**has Se T T<sup>OP</sup> back to ToC or Object Property ToC**

**IRI:** http://purl.org/sett/vocab#hasSeTT

has domain

Territorial Unit <sup>c</sup>

has range

SeTT <sup>c</sup>

is inverse of

is Se T T Of <sup>OP</sup>

**has Segment<sup>OP</sup> back to ToC or Object Property ToC**

**IRI:** http://purl.org/sett/vocab#hasSegment

has domain

Structured Trajectory <sup>c</sup>

has range

Segment <sup>c</sup>

is inverse of

is Segment Of <sup>OP</sup>

**has Semantic Annotation<sup>OP</sup> back to ToC or Object Property ToC**

**IRI:** http://purl.org/sett/vocab#hasSemanticAnnotation

has domain

Thematic Component <sup>c</sup>

has range

Semantic Annotation <sup>c</sup>

is inverse of

is Semantic Annotation Of <sup>OP</sup>

**has Semantic Annotation Criteria<sup>OP</sup> back to ToC or Object Property ToC**
**IRI:** http://purl.org/sett/vocab#hasSemanticAnnotationCriteria

has domain

<u>Thematic Trajectory</u> <sup>c</sup>

has range

<u>Semantic Annotation Criteria</u> <sup>c</sup>

is inverse of

<u>is Semantic Annotation Criteria Of</u> <sup>op</sup>

**has Slice<sup>OP</sup> back to** <u>ToC</u> or <u>Object Property ToC</u>

**IRI:** http://purl.org/sett/vocab#hasSlice

has domain

<u>Raw Trajectory</u> <sup>c</sup>

has range

<u>Slice</u> <sup>c</sup>

is inverse of

<u>is Slice Of</u> <sup>op</sup>

**has Temporal Granularity<sup>OP</sup> back to** <u>ToC</u> or <u>Object Property ToC</u>

**IRI:** http://purl.org/sett/vocab#hasTemporalGranularity

has domain

<u>Thematic Trajectory</u> <sup>c</sup>

has range

<u>Temporal Granularity</u> <sup>c</sup>

is inverse of

<u>is Temporal Granularity Of</u> <sup>op</sup>

**has Temporal Scale<sup>OP</sup> back to** <u>ToC</u> or <u>Object Property ToC</u>

**IRI:** http://purl.org/sett/vocab#hasTemporalScale

has domain

<u>Thematic Trajectory</u> <sup>c</sup>

has range

<u>Temporal Scale</u> <sup>c</sup>

is inverse of

<u>is Temporal Scale Of</u> <sup>op</sup>

**has Thematic Trajectory<sup>OP</sup> back to** <u>ToC</u> or <u>Object Property ToC</u>

**IRI:** http://purl.org/sett/vocab#hasThematicTrajectory

has domain

<u>SeTT</u> <sup>c</sup>

has range

<u>Thematic Trajectory</u> <sup>c</sup>

is inverse of

<u>is Thematic Trajectory Of</u> <sup>op</sup>

**has Theme<sup>OP</sup> back to** <u>ToC</u> or <u>Object Property ToC</u>

**IRI:** http://purl.org/sett/vocab#hasTheme

has domain

<u>Thematic Trajectory</u> <sup>c</sup>
has range

Theme c

is inverse of

is Theme Of op

**has Transition Point**<sup>OP</sup> back to **ToC** or **Object Property ToC**

**IRI:** http://purl.org/sett/vocab#hasTransitionPoint

has domain

Structured Trajectory c

has range

Transition Point c

is inverse of

is Transition Point Of op

**indicator Monitored By**<sup>OP</sup> back to **ToC** or **Object Property ToC**

**IRI:** http://purl.org/sett/vocab#indicatorMonitoredBy

is inverse of

monitors Indicator op

**is Attribute Of** Semantic Annotation<sup>OP</sup> back to **ToC** or **Object Property ToC**

**IRI:** http://purl.org/sett/vocab#isAttributeOfSemanticAnnotation

is inverse of

semantic Annotation Based On Attribute op

**Is Event Of**<sup>OP</sup> back to **ToC** or **Object Property ToC**

**IRI:** http://purl.org/sett/vocab#IsEventOf

is inverse of

has Event op

**is External Attribute Of**<sup>OP</sup> back to **ToC** or **Object Property ToC**

**IRI:** http://purl.org/sett/vocab#isExternalAttributeOf

has super-properties

is Attribute Of op

is inverse of

has External Attribute op

**is Intrinsic Attribute Of**<sup>OP</sup> back to **ToC** or **Object Property ToC**

**IRI:** http://purl.org/sett/vocab#isIntrinsicAttributeOf

has super-properties

is Attribute Of op

is inverse of

has Intrinsic Attribute op

**is Study Area Of**<sup>OP</sup> back to **ToC** or **Object Property ToC**

**IRI:** http://purl.org/sett/vocab#isStudyAreaOf

is inverse of
study Area<sup>OP</sup>

**monitors Indicator<sup>OP</sup> back to ToC or Object Property ToC**

**IRI:** http://purl.org/sett/vocab#monitorsIndicator

has domain

Raw Trajectory<sup>c</sup>

has range

Indicator<sup>c</sup>

is inverse of

indicator Monitored By<sup>OP</sup>

**segment Is Derivated From<sup>OP</sup> back to ToC or Object Property ToC**

**IRI:** http://purl.org/sett/vocab#segmentIsDerivatedFrom

has domain

Segment<sup>c</sup>

has range

Slice<sup>c</sup>

is inverse of

slice Used To Derivate Segment<sup>OP</sup>

**semantic Annotation Based On Attribute<sup>OP</sup> back to ToC or Object Property ToC**

**IRI:** http://purl.org/sett/vocab#semanticAnnotationBasedOnAttribute

has domain

Semantic Annotation<sup>c</sup>

has range

Attribute<sup>c</sup>

is inverse of

is Attribute Of Semantic Annotation<sup>OP</sup>

**slice Delimited By<sup>OP</sup> back to ToC or Object Property ToC**

**IRI:** http://purl.org/sett/vocab#sliceDelimitedBy

is inverse of

transition Point Delimit Slice<sup>OP</sup>

**study Area<sup>OP</sup> back to ToC or Object Property ToC**

**IRI:** http://purl.org/sett/vocab#studyArea

has domain

Territorial Unit<sup>c</sup>

has range

Study Area<sup>c</sup>

is inverse of

is Study Area Of<sup>OP</sup>

**takes Data From<sup>OP</sup> back to ToC or Object Property ToC**

**IRI:** http://purl.org/sett/vocab#takesDataFrom

has domain

Indicator<sup>c</sup>
has range
[**Indicator**⁵]

is inverse of
[**gives Data To**⁶]

**transition Point Delimit Slice⁹** back to **ToC** or **Object Property ToC**

**IRI:** http://purl.org/sett/vocab#transitionPointDelimitSlice

has domain
[**Transition Point**⁵]

has range
[**Slice**⁶]

is inverse of
[**slice Delimited By**⁹]

**Data Properties**

* [**area In H An Lake**]

* [**area In M2**]

* [**has Annotation Criteria Description**]

* [**has Attribute Value**]

* [**has Indicator Description**]

* [**has Indicator Formula**]

* [**has Sequence Order**]

* [**has Structuration Method Description**]

* [**has Total Episodes**]

* [**has Total Events**]

* [**has Total Segments**]

* [**has Total Slices**]

* [**has Total Transition Points**]

* [**max Elevation Meters**]

* [**max Slope Degrees**]

* [**mean Elevation Meters**]

* [**mean Slope Degrees**]

* [**min Elevation Meters**]

* [**min Slope Degrees**]

* [**std Elevation Meters**]

* [**std Slope Degrees**]

* [**total Area In M2**]

**area In H An Lake<sup>dp</sup> back to ToC or Data Property ToC**

**IRI:** http://purl.org/sett/vocab#areaInHAnLake

has domain
[**Territorial Unit**⁵]

has range
[**float**]

**area In M2<sup>dp</sup> back to ToC or Data Property ToC**

**IRI:** http://purl.org/sett/vocab#areaInM2

has domain
[**Territorial Unit**⁵]

has range
[**float**]
**has Annotation Criteria Description<sup>dp</sup> back to ToC or Data Property ToC**

**IRI:** http://purl.org/sett/vocab#hasAnnotationCriteriaDescription

Provides a description of the semantic annotations- For instance, the thresholds used to classify certain values (e.g., slight, medium, strong) based on a given attribute.

has domain
*Semantic Annotation Criteria* c

has range
*string*

**has Attribute Value<sup>dp</sup> back to ToC or Data Property ToC**

**IRI:** http://purl.org/sett/vocab#hasAttributeValue

has domain
*Attribute* c

has range
*Literal*

**has Indicator Description<sup>dp</sup> back to ToC or Data Property ToC**

**IRI:** http://purl.org/sett/vocab#hasIndicatorDescription

has domain
*Indicator* c

has range
*string*

**has Indicator Formula<sup>dp</sup> back to ToC or Data Property ToC**

**IRI:** http://purl.org/sett/vocab#hasIndicatorFormula

has domain
*Indicator* c

has range
*string*

**has Sequence Order<sup>dp</sup> back to ToC or Data Property ToC**

**IRI:** http://purl.org/sett/vocab#hasSequenceOrder

**has characteristics:** functional

has domain
*Component* c

has range
*integer*

**has Structuration Method Description<sup>dp</sup> back to ToC or Data Property ToC**

**IRI:** http://purl.org/sett/vocab#hasStructurationMethodDescription

has domain
*Structuration Method* c

has range
*string*

**has Total Episodes<sup>dp</sup> back to ToC or Data Property ToC**
**IRI:** http://purl.org/sett/vocab#hasTotalEpisodes

has domain
[Thematic Trajectory](#)

has range
*integer*

**has Total Events<sup>dp</sup> back to** [**ToC**](#) or [**Data Property ToC**](#)

**IRI:** http://purl.org/sett/vocab#hasTotalEvents

has domain
[Thematic Trajectory](#)

has range
*integer*

**has Total Segments<sup>dp</sup> back to** [**ToC**](#) or [**Data Property ToC**](#)

**IRI:** http://purl.org/sett/vocab#hasTotalSegments

has domain
[Structured Trajectory](#)

has range
*integer*

**has Total Slices<sup>dp</sup> back to** [**ToC**](#) or [**Data Property ToC**](#)

**IRI:** http://purl.org/sett/vocab#hasTotalSlices

has domain
[Raw Trajectory](#)

has range
*integer*

**has Total Transition Points<sup>dp</sup> back to** [**ToC**](#) or [**Data Property ToC**](#)

**IRI:** http://purl.org/sett/vocab#hasTotalTransitionPoints

has domain
[Structured Trajectory](#)

has range
*integer*

**max Elevation Meters<sup>dp</sup> back to** [**ToC**](#) or [**Data Property ToC**](#)

**IRI:** http://purl.org/sett/vocab#maxElevationMeters

has domain
[Territorial Unit](#)

has range
*float*

**max Slope Degrees<sup>dp</sup> back to** [**ToC**](#) or [**Data Property ToC**](#)

**IRI:** http://purl.org/sett/vocab#maxSlopeDegrees

has domain
[Territorial Unit](#)

has range
*float*
## mean Elevation Meters<sup>dp</sup> back to ToC or Data Property ToC

**IRI:** http://purl.org/sett/vocab#meanElevationMeters

has domain

[Territorial Unit](#) c

has range

[float](#)

## mean Slope Degrees<sup>dp</sup> back to ToC or Data Property ToC

**IRI:** http://purl.org/sett/vocab#meanSlopeDegrees

has domain

[Territorial Unit](#) c

has range

[float](#)

## min Elevation Meters<sup>dp</sup> back to ToC or Data Property ToC

**IRI:** http://purl.org/sett/vocab#minElevationMeters

has domain

[Territorial Unit](#) c

has range

[float](#)

## min Slope Degrees<sup>dp</sup> back to ToC or Data Property ToC

**IRI:** http://purl.org/sett/vocab#minSlopeDegrees

has domain

[Territorial Unit](#) c

has range

[float](#)

## std Elevation Meters<sup>dp</sup> back to ToC or Data Property ToC

**IRI:** http://purl.org/sett/vocab#stdElevationMeters

has domain

[Territorial Unit](#) c

has range

[float](#)

## std Slope Degrees<sup>dp</sup> back to ToC or Data Property ToC

**IRI:** http://purl.org/sett/vocab#stdSlopeDegrees

has domain

[Territorial Unit](#) c

has range

[float](#)

## total Area In M2<sup>dp</sup> back to ToC or Data Property ToC

**IRI:** http://purl.org/sett/vocab#totalAreaInM2

has domain

[Territorial Unit](#) c
has range

float

## Legend back to **ToC**

c: Classes

op: Object Properties

dp: Data Properties

## References back to **ToC**

Add your references here. It is recommended to have them as a list.

## Acknowledgments back to **ToC**

The authors would like to thank Silvio Peroni for developing LODE, a Live OWL Documentation Environment, which is used for representing the Cross Referencing Section of this document and Daniel Garijo for developing Widoco, the program used to create the template used in this documentation.