AndreaBozzo/ceres-open-data-index huggingface dataset:
Derg And Mourne Network Contribution

<div style='text-align:Left;'><div><div><p style='font-weight:bold;'><span><span>About this layer</span></span></p><p><span>Network contribution area scores were exported from the SciMAP application outputs within SAGA GIS. The scores were based on inputs from CEH Land cover 2007, Met Office average rainfall and 5 meter DTM. The High contribution category boundary was determined by selecting +1 standard deviation of the distribution of the scores.</span></p><p style='font-weight:bold;'><span>What can you do with the layer?</span></p><p style='margin:1 1 1 20;'><span style='font-weight:bold;'>Visualisation: </span><span><span>This layer can be used for visualisation online in web maps.</span></span></p><p style='margin:1 1 1 20;'><span style='font-weight:bold;'><span>Analysis: </span></span><span><span>This layer can be used in dashboards.</span></span></p><p style='margin:1 1 1 20;'><span style='font-weight:bold;'><span>Download:</span></span><span> The data is downloadable.</span></p></div></div></div>

Tags: high-network-contribution, ni, northern-ireland, rivers, surface-flow, surface-water-connectivity, uk, united-kingdom
Organization: Department of Agriculture, Environment and Rural Affairs
1962 AP

<div style='text-align:left;'><p style='font-size:12pt;'>The primary objective from this project was to acquire historical shoreline information for all of the Northern Ireland coastline. Having this detailed understanding of the coast’s shoreline position and geometry over annual to decadal time periods is essential in any management of the coast.</p><div style='text-align:left;'><p style='font-size:12pt;'>The
historical shoreline analysis was based on all available Ordnance Survey maps
and aerial imagery information. Analysis looked at position and geometry over
annual to decadal time periods, providing a dynamic picture of how the
coastline has changed since the start of the early 1800s.<br /></p><div style='text-align:left;'><p><span style='font-size:12pt;'>Once
all datasets were collated, data was interrogated using the ArcGIS package –
Digital Shoreline Analysis System (DSAS). DSAS is a software package which
enables a user to calculate rate-of</span><font size='3'>-change s</font><span style='font-size:12pt;'>tatistics from multiple historical
shoreline positions. Rate-of-change was collected at 25m intervals and
displayed both statistically and spatially allowing for areas of
retreat/accretion to be identified at any given stretch of coastline.</span><br /></p><p><span style='font-size:16px;'>The DSAS software will produce the following rate-of-change statistics:</span></p><p></p><ol><li><span style='font-size:16px;'>Net Shoreline Movement (NSM) – the distance between the oldest and the youngest shorelines.</span></li><li>Shoreline Change Envelope (SCE) – a measure of the total change in shoreline movement considering all available shoreline positions and reporting their distances, without reference to their specific dates.</li><li>End Point Rate (EPR) – derived by dividing the distance of shoreline movement by the time elapsed between the oldest and the youngest shoreline positions.</li><li>Linear Regression Rate (LRR) – determines a rate of change statistic by fitting a least square regression to all shorelines at specific transects.</li><li>Weighted Linear Regression Rate (WLR) - calculates a weighted linear regression of shoreline change on each transect. It considers the shoreline uncertainty giving more emphasis on shorelines with a smaller error.</li></ol><p></p><p><span style='font-size:16px;'>The end product provided by Ulster University is an invaluable tool and digital asset that has helped to visualise shoreline change and assess approximate rates of historical change at any given coastal stretch on the Northern Ireland coast.</span></p></div></div></div>

Tags: 3d, analysis, coastal, historic, ireland, marine, northern, observatory, rates, shoreline-change, shorelines, survey
Organization: Department of Agriculture, Environment and Rural Affairs
1963 AP

<div style='text-align:left;'><p style='font-size:12pt;'>The primary objective from this project was to acquire historical shoreline information for all of the Northern Ireland coastline. Having this detailed understanding of the coast’s shoreline position and geometry over annual to decadal time periods is essential in any management of the coast.</p><div style='text-align:left;'><p style='font-size:12pt;'>The
historical shoreline analysis was based on all available Ordnance Survey maps
and aerial imagery information. Analysis looked at position and geometry over
annual to decadal time periods, providing a dynamic picture of how the
coastline has changed since the start of the early 1800s.<br /></p><div style='text-align:left;'><p><span style='font-size:12pt;'>Once
all datasets were collated, data was interrogated using the ArcGIS package –
Digital Shoreline Analysis System (DSAS). DSAS is a software package which
enables a user to calculate rate-of</span><font size='3'>-change s</font><span style='font-size:12pt;'>tatistics from multiple historical
shoreline positions. Rate-of-change was collected at 25m intervals and
displayed both statistically and spatially allowing for areas of
retreat/accretion to be identified at any given stretch of coastline.</span><br /></p><p><span style='font-size:16px;'>The DSAS software will produce the following rate-of-change statistics:</span></p><p></p><ol><li><span style='font-size:16px;'>Net Shoreline Movement (NSM) – the distance between the oldest and the youngest shorelines.</span></li><li>Shoreline Change Envelope (SCE) – a measure of the total change in shoreline movement considering all available shoreline positions and reporting their distances, without reference to their specific dates.</li><li>End Point Rate (EPR) – derived by dividing the distance of shoreline movement by the time elapsed between the oldest and the youngest shoreline positions.</li><li>Linear Regression Rate (LRR) – determines a rate of change statistic by fitting a least square regression to all shorelines at specific transects.</li><li>Weighted Linear Regression Rate (WLR) - calculates a weighted linear regression of shoreline change on each transect. It considers the shoreline uncertainty giving more emphasis on shorelines with a smaller error.</li></ol><p></p><p><span style='font-size:16px;'>The end product provided by Ulster University is an invaluable tool and digital asset that has helped to visualise shoreline change and assess approximate rates of historical change at any given coastal stretch on the Northern Ireland coast.</span></p></div></div></div>

Tags: 3d, analysis, coastal, historic, ireland, marine, northern, observatory, rates, shoreline-change, shorelines, survey
Organization: Department of Agriculture, Environment and Rural Affairs
1964 OS 27 10K

<div style='text-align:left;'><p style='font-size:12pt;'>The primary objective from this project was to acquire historical shoreline information for all of the Northern Ireland coastline. Having this detailed understanding of the coast’s shoreline position and geometry over annual to decadal time periods is essential in any management of the coast.</p><div style='text-align:left;'><p style='font-size:12pt;'>The
historical shoreline analysis was based on all available Ordnance Survey maps
and aerial imagery information. Analysis looked at position and geometry over
annual to decadal time periods, providing a dynamic picture of how the
coastline has changed since the start of the early 1800s.<br /></p><div style='text-align:left;'><p><span style='font-size:12pt;'>Once
all datasets were collated, data was interrogated using the ArcGIS package –
Digital Shoreline Analysis System (DSAS). DSAS is a software package which
enables a user to calculate rate-of</span><font size='3'>-change s</font><span style='font-size:12pt;'>tatistics from multiple historical
shoreline positions. Rate-of-change was collected at 25m intervals and
displayed both statistically and spatially allowing for areas of
retreat/accretion to be identified at any given stretch of coastline.</span><br /></p><p><span style='font-size:16px;'>The DSAS software will produce the following rate-of-change statistics:</span></p><p></p><ol><li><span style='font-size:16px;'>Net Shoreline Movement (NSM) – the distance between the oldest and the youngest shorelines.</span></li><li>Shoreline Change Envelope (SCE) – a measure of the total change in shoreline movement considering all available shoreline positions and reporting their distances, without reference to their specific dates.</li><li>End Point Rate (EPR) – derived by dividing the distance of shoreline movement by the time elapsed between the oldest and the youngest shoreline positions.</li><li>Linear Regression Rate (LRR) – determines a rate of change statistic by fitting a least square regression to all shorelines at specific transects.</li><li>Weighted Linear Regression Rate (WLR) - calculates a weighted linear regression of shoreline change on each transect. It considers the shoreline uncertainty giving more emphasis on shorelines with a smaller error.</li></ol><p></p><p><span style='font-size:16px;'>The end product provided by Ulster University is an invaluable tool and digital asset that has helped to visualise shoreline change and assess approximate rates of historical change at any given coastal stretch on the Northern Ireland coast.</span></p></div></div></div>

Tags: 3d, analysis, coastal, historic, ireland, marine, northern, observatory, rates, shoreline-change, shorelines, survey
Organization: Department of Agriculture, Environment and Rural Affairs
1967 OS 27 10K

<div style='text-align:left;'><p style='font-size:12pt;'>The primary objective from this project was to acquire historical shoreline information for all of the Northern Ireland coastline. Having this detailed understanding of the coast’s shoreline position and geometry over annual to decadal time periods is essential in any management of the coast.</p><div style='text-align:left;'><p style='font-size:12pt;'>The
historical shoreline analysis was based on all available Ordnance Survey maps
and aerial imagery information. Analysis looked at position and geometry over
annual to decadal time periods, providing a dynamic picture of how the
coastline has changed since the start of the early 1800s.<br /></p><div style='text-align:left;'><p><span style='font-size:12pt;'>Once
all datasets were collated, data was interrogated using the ArcGIS package –
Digital Shoreline Analysis System (DSAS). DSAS is a software package which
enables a user to calculate rate-of</span><font size='3'>-change s</font><span style='font-size:12pt;'>tatistics from multiple historical
shoreline positions. Rate-of-change was collected at 25m intervals and
displayed both statistically and spatially allowing for areas of
retreat/accretion to be identified at any given stretch of coastline.</span><br /></p><p><span style='font-size:16px;'>The DSAS software will produce the following rate-of-change statistics:</span></p><p></p><ol><li><span style='font-size:16px;'>Net Shoreline Movement (NSM) – the distance between the oldest and the youngest shorelines.</span></li><li>Shoreline Change Envelope (SCE) – a measure of the total change in shoreline movement considering all available shoreline positions and reporting their distances, without reference to their specific dates.</li><li>End Point Rate (EPR) – derived by dividing the distance of shoreline movement by the time elapsed between the oldest and the youngest shoreline positions.</li><li>Linear Regression Rate (LRR) – determines a rate of change statistic by fitting a least square regression to all shorelines at specific transects.</li><li>Weighted Linear Regression Rate (WLR) - calculates a weighted linear regression of shoreline change on each transect. It considers the shoreline uncertainty giving more emphasis on shorelines with a smaller error.</li></ol><p></p><p><span style='font-size:16px;'>The end product provided by Ulster University is an invaluable tool and digital asset that has helped to visualise shoreline change and assess approximate rates of historical change at any given coastal stretch on the Northern Ireland coast.</span></p></div></div></div>

Tags: 3d, analysis, coastal, historic, ireland, marine, northern, observatory, rates, shoreline-change, shorelines, survey
Organization: Department of Agriculture, Environment and Rural Affairs
1968 AP

<div style='text-align:left;'><p style='font-size:12pt;'>The primary objective from this project was to acquire historical shoreline information for all of the Northern Ireland coastline. Having this detailed understanding of the coast’s shoreline position and geometry over annual to decadal time periods is essential in any management of the coast.</p><div style='text-align:left;'><p style='font-size:12pt;'>The
historical shoreline analysis was based on all available Ordnance Survey maps
and aerial imagery information. Analysis looked at position and geometry over
annual to decadal time periods, providing a dynamic picture of how the
coastline has changed since the start of the early 1800s.<br /></p><div style='text-align:left;'><p><span style='font-size:12pt;'>Once
all datasets were collated, data was interrogated using the ArcGIS package –
Digital Shoreline Analysis System (DSAS). DSAS is a software package which
enables a user to calculate rate-of</span><font size='3'>-change s</font><span style='font-size:12pt;'>tatistics from multiple historical
shoreline positions. Rate-of-change was collected at 25m intervals and
displayed both statistically and spatially allowing for areas of
retreat/accretion to be identified at any given stretch of coastline.</span><br /></p><p><span style='font-size:16px;'>The DSAS software will produce the following rate-of-change statistics:</span></p><p></p><ol><li><span style='font-size:16px;'>Net Shoreline Movement (NSM) – the distance between the oldest and the youngest shorelines.</span></li><li>Shoreline Change Envelope (SCE) – a measure of the total change in shoreline movement considering all available shoreline positions and reporting their distances, without reference to their specific dates.</li><li>End Point Rate (EPR) – derived by dividing the distance of shoreline movement by the time elapsed between the oldest and the youngest shoreline positions.</li><li>Linear Regression Rate (LRR) – determines a rate of change statistic by fitting a least square regression to all shorelines at specific transects.</li><li>Weighted Linear Regression Rate (WLR) - calculates a weighted linear regression of shoreline change on each transect. It considers the shoreline uncertainty giving more emphasis on shorelines with a smaller error.</li></ol><p></p><p><span style='font-size:16px;'>The end product provided by Ulster University is an invaluable tool and digital asset that has helped to visualise shoreline change and assess approximate rates of historical change at any given coastal stretch on the Northern Ireland coast.</span></p></div></div></div>

Tags: 3d, analysis, coastal, historic, ireland, marine, northern, observatory, rates, shoreline-change, shorelines, survey
Organization: Department of Agriculture, Environment and Rural Affairs
1970 OS 27 10K

<div style='text-align:left;'><p style='font-size:12pt;'>The primary objective from this project was to acquire historical shoreline information for all of the Northern Ireland coastline. Having this detailed understanding of the coast’s shoreline position and geometry over annual to decadal time periods is essential in any management of the coast.</p><div style='text-align:left;'><p style='font-size:12pt;'>The
historical shoreline analysis was based on all available Ordnance Survey maps
and aerial imagery information. Analysis looked at position and geometry over
annual to decadal time periods, providing a dynamic picture of how the
coastline has changed since the start of the early 1800s.<br /></p><div style='text-align:left;'><p><span style='font-size:12pt;'>Once
all datasets were collated, data was interrogated using the ArcGIS package –
Digital Shoreline Analysis System (DSAS). DSAS is a software package which
enables a user to calculate rate-of</span><font size='3'>-change s</font><span style='font-size:12pt;'>tatistics from multiple historical
shoreline positions. Rate-of-change was collected at 25m intervals and
displayed both statistically and spatially allowing for areas of
retreat/accretion to be identified at any given stretch of coastline.</span><br /></p><p><span style='font-size:16px;'>The DSAS software will produce the following rate-of-change statistics:</span></p><p></p><ol><li><span style='font-size:16px;'>Net Shoreline Movement (NSM) – the distance between the oldest and the youngest shorelines.</span></li><li>Shoreline Change Envelope (SCE) – a measure of the total change in shoreline movement considering all available shoreline positions and reporting their distances, without reference to their specific dates.</li><li>End Point Rate (EPR) – derived by dividing the distance of shoreline movement by the time elapsed between the oldest and the youngest shoreline positions.</li><li>Linear Regression Rate (LRR) – determines a rate of change statistic by fitting a least square regression to all shorelines at specific transects.</li><li>Weighted Linear Regression Rate (WLR) - calculates a weighted linear regression of shoreline change on each transect. It considers the shoreline uncertainty giving more emphasis on shorelines with a smaller error.</li></ol><p></p><p><span style='font-size:16px;'>The end product provided by Ulster University is an invaluable tool and digital asset that has helped to visualise shoreline change and assess approximate rates of historical change at any given coastal stretch on the Northern Ireland coast.</span></p></div></div></div>

Tags: 3d, analysis, coastal, historic, ireland, marine, northern, observatory, rates, shoreline-change, shorelines, survey
Organization: Department of Agriculture, Environment and Rural Affairs
End Point Rate

<div style='text-align:left;'><p style='font-size:12pt;'>The primary objective from this project was to acquire historical shoreline information for all of the Northern Ireland coastline. Having this detailed understanding of the coast’s shoreline position and geometry over annual to decadal time periods is essential in any management of the coast.</p><div style='text-align:left;'><p style='font-size:12pt;'>The
historical shoreline analysis was based on all available Ordnance Survey maps
and aerial imagery information. Analysis looked at position and geometry over
annual to decadal time periods, providing a dynamic picture of how the
coastline has changed since the start of the early 1800s.<br /></p><div style='text-align:left;'><p><span style='font-size:12pt;'>Once
all datasets were collated, data was interrogated using the ArcGIS package –
Digital Shoreline Analysis System (DSAS). DSAS is a software package which
enables a user to calculate rate-of</span><font size='3'>-change s</font><span style='font-size:12pt;'>tatistics from multiple historical
shoreline positions. Rate-of-change was collected at 25m intervals and
displayed both statistically and spatially allowing for areas of
retreat/accretion to be identified at any given stretch of coastline.</span><br /></p><p><span style='font-size:16px;'>The DSAS software will produce the following rate-of-change statistics:</span></p><p></p><ol><li><span style='font-size:16px;'>Net Shoreline Movement (NSM) – the distance between the oldest and the youngest shorelines.</span></li><li>Shoreline Change Envelope (SCE) – a measure of the total change in shoreline movement considering all available shoreline positions and reporting their distances, without reference to their specific dates.</li><li>End Point Rate (EPR) – derived by dividing the distance of shoreline movement by the time elapsed between the oldest and the youngest shoreline positions.</li><li>Linear Regression Rate (LRR) – determines a rate of change statistic by fitting a least square regression to all shorelines at specific transects.</li><li>Weighted Linear Regression Rate (WLR) - calculates a weighted linear regression of shoreline change on each transect. It considers the shoreline uncertainty giving more emphasis on shorelines with a smaller error.</li></ol><p></p><p><span style='font-size:16px;'>The end product provided by Ulster University is an invaluable tool and digital asset that has helped to visualise shoreline change and assess approximate rates of historical change at any given coastal stretch on the Northern Ireland coast.</span></p></div></div></div>

Tags: 3d, analysis, coastal, historic, ireland, marine, northern, observatory, rates, shoreline-change, shorelines, survey
Organization: Department of Agriculture, Environment and Rural Affairs
1971 OS 27 10K

<div style='text-align:left;'><p style='font-size:12pt;'>The primary objective from this project was to acquire historical shoreline information for all of the Northern Ireland coastline. Having this detailed understanding of the coast’s shoreline position and geometry over annual to decadal time periods is essential in any management of the coast.</p><div style='text-align:left;'><p style='font-size:12pt;'>The
historical shoreline analysis was based on all available Ordnance Survey maps
and aerial imagery information. Analysis looked at position and geometry over
annual to decadal time periods, providing a dynamic picture of how the
coastline has changed since the start of the early 1800s.<br /></p><div style='text-align:left;'><p><span style='font-size:12pt;'>Once
all datasets were collated, data was interrogated using the ArcGIS package –
Digital Shoreline Analysis System (DSAS). DSAS is a software package which
enables a user to calculate rate-of</span><font size='3'>-change s</font><span style='font-size:12pt;'>tatistics from multiple historical
shoreline positions. Rate-of-change was collected at 25m intervals and
displayed both statistically and spatially allowing for areas of
retreat/accretion to be identified at any given stretch of coastline.</span><br /></p><p><span style='font-size:16px;'>The DSAS software will produce the following rate-of-change statistics:</span></p><p></p><ol><li><span style='font-size:16px;'>Net Shoreline Movement (NSM) – the distance between the oldest and the youngest shorelines.</span></li><li>Shoreline Change Envelope (SCE) – a measure of the total change in shoreline movement considering all available shoreline positions and reporting their distances, without reference to their specific dates.</li><li>End Point Rate (EPR) – derived by dividing the distance of shoreline movement by the time elapsed between the oldest and the youngest shoreline positions.</li><li>Linear Regression Rate (LRR) – determines a rate of change statistic by fitting a least square regression to all shorelines at specific transects.</li><li>Weighted Linear Regression Rate (WLR) - calculates a weighted linear regression of shoreline change on each transect. It considers the shoreline uncertainty giving more emphasis on shorelines with a smaller error.</li></ol><p></p><p><span style='font-size:16px;'>The end product provided by Ulster University is an invaluable tool and digital asset that has helped to visualise shoreline change and assess approximate rates of historical change at any given coastal stretch on the Northern Ireland coast.</span></p></div></div></div>

Tags: 3d, analysis, coastal, historic, ireland, marine, northern, observatory, rates, shoreline-change, shorelines, survey
Organization: Department of Agriculture, Environment and Rural Affairs