DOI: 10.5281/zenodo.17803084
title: WP3-M3_Land-In-Pro_webGIS

description: This dataset contains information on the two QGIS projects developed as background for the implementation of the Land-In-Pro webGIS published on the Land-In-Pro website.

The Land-In-Pro webGIS projects were developed using an open-source GIS environment, in continuity with the tools adopted in the previous phases of the project. A spatial database implemented in PostgreSQL was used to store and manage spatial data and structured descriptive datasets, including tabular information originally generated in spreadsheet format and subsequently normalised within the database environment. QGIS  (v.3.34 Prizren) was used as the desktop client to connect to the database, configure layer groups and symbologies, and define the attribute tables and contents of the two projects. Both QGIS projects were set in the Roma40 reference system and Gauss-Boaga cartographic projection (EPSG:3003).The online publication of the projects was implemented by G.ter  through the open-source Lizmap Web Client, which serves the QGIS projects as interactive web applications on a dedicated GIS hosting service, retaining the original layer structure and most of the cartographic settings defined in QGIS. The use of open-source tools reinforces the project’s commitment to open science and the FAIR principles. The webGIS projects are openly accessible on the Land-In-Pro website, where they can be freely consulted at https://landinpro.unige.it/webgis. 

This dataset has been curated by Dr Federica Pompejano, Dr Sara Mauri and Dr Marta Casanova. It relates to:



WP2, WP3, WP4

Version 1.0; published on November 15, 2025.  

Federica Pompejano, Principal Investigator, RTD-A, Department Architecture and Design (DAD), Università di Genova (UniGe), federica.pompejano@unige.it (creator and depositor).

Sara Mauri, Postdoctoral researcher, Department Architecture and Design (DAD), Università di Genova (UniGe), sara.mauri@edu.unige.it (creator and depositor)

Marta Casanova, RTD-B, Department Architecture and Design (DAD), Università di Genova (UniGe), marta.casanova@unige.it (depositor).

Data contained in the WP3-M3_Land-In-Pro_PilotSite folder originates from the collection of spatial data and ethnographic qualitative data acquired during fieldwork activities carried out during WP2, consultation of archival sources and literature collected during WP1, processing of WP2-M2_PilotSiteMapping dataset and of ethnographic data carried out during WP4. Data contained in the WP3-M3_Land-In-Pro_HILC folder originate from originate from the analysis and processing of cartographic archival sources (British RAF Flight from 1944, ICCD, F. "Seconda guerra mondiale"; Flight 1, Alto Copertura Regionale, 1973/1974, Regione Liguria; Bing Ortophoto, 2024) consulted and elaborated with the support of Bianca Federici, Ilaria Ferrando, and Paola Salmona (Geomatic Lab, UniGe-DICCA) as well as from original work carried out by Dr Federica Pompejano and Sara Mauri that allowed them to identify and define the Land-In-Pro HILC and the Land-In-Pro classes.

Keywords: NextGenerationEU, NextGenEu, Ministero dell'Università e della Ricerca, MUR, PNRR, UniGe, DAD, MSCA_0000005, Land-In-Pro, Post-industrial landscape, Industrial heritage, Landscape studies, Architectural conservation, Heritage studies, Fieldwork, Photo survey, Data processing, Architetture, Strutture, Paesaggio, Architecture, Landscape, Structures, Ethnographic data, Semi-structured Interviews, Go-along, Memories, Narratives, Mapping.

Link: https://landinpro.unige.it/


This dataset contains a QGIS project (.qgz) along with supporting files including PDFs (.pdf), images (.jpg), text (.txt), XML metadata (.xml), and QGIS packages (.qpkg).

The metadata are contained in a markdown README file (.txt). Metadata is compiled using the online tool DataCite Metadata Generator - Kernel 4.4 provided by DataCite Metadata Working Group. (2021). DataCite Metadata Schema Documentation for the Publication and Citation of Research Data and Other Research Outputs. Version 4.4. DataCite e.V. https://doi.org/10.14454/3w3z-sa82.

This dataset is part of the Land-In-Pro project, which has received funding from the Ministry of University and Research, General Directorate for Internationalisation and Communication – National Recovery and Resilience Plan (PNRR) - Mission 4 “Education and Research” - Component 2 “From Research to Business” - Investment 1.2 “Funding projects presented by young researchers” and the European Union – Next Generation EU.The content of this database reflects only the authors’ views. The authors, Host Institution, Ministry of University and Research and the European Commission are not responsible for any use that may be made of the information it contains.