7 datasets found
  1. H

    Software and Example Data for F4Carto: A Fast and Flexible Force-based...

    • dataverse.harvard.edu
    Updated Apr 17, 2020
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    Harvard Dataverse (2020). Software and Example Data for F4Carto: A Fast and Flexible Force-based Transformation Framework for Cartograms [Dataset]. http://doi.org/10.7910/DVN/6ST8NQ
    Explore at:
    exe(4756720), application/zipped-shapefile(82617), exe(244736), exe(20672), exe(18624), exe(28864), exe(449264), exe(755200), exe(80112), bin(1183), exe(522752), exe(20160), bin(1185), exe(198144), bin(1182), application/zipped-shapefile(3017712), exe(1404928), exe(24256), pdf(368477), application/zipped-shapefile(2666933), exe(22720), exe(22208)Available download formats
    Dataset updated
    Apr 17, 2020
    Dataset provided by
    Harvard Dataverse
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    The Windows 64-bit executable program of F4Carto and example data for contiguous cartograms. The program was developed based on the Fast and Flexible Force-based Transformation Framework for Cartograms. Sample data include 48 US contiguous states, US counties in these states, and the world countries and regions.

  2. e

    Cartograms of point clay content measured on QSR, Campaign 1 (2001-2009)

    • data.europa.eu
    Updated Jan 27, 2023
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    (2023). Cartograms of point clay content measured on QSR, Campaign 1 (2001-2009) [Dataset]. https://data.europa.eu/data/datasets/2de24fc5-bd0d-5c2b-8c20-5a68fd17a555?locale=en
    Explore at:
    Dataset updated
    Jan 27, 2023
    Description

    The Soil Quality Measurement Network (RMQS) is a national long-term soil quality assessment and monitoring program. This network is based on the monitoring of 2240 sites representative of French soils and their occupations, distributed throughout the French territory (metropole and overseas) according to a systematic grid of 16 km side. The sites cover various occupations (large crops, permanent meadows, forests, vineyards and orchards, low-anthropised environments, urban parks). The physical, chemical and biological properties of soils are measured at each site with a periodicity of about fifteen years. These analyses are associated with the investigation of factors explaining the spatial and temporal variability of soil properties (biophysical variables, sources of contamination, history of occupation and site management practices). The first tax year in metropolitan France took place from 2000 to 2009. This campaign, focused on soil contamination, made it possible to map the main soil parameters (28 variables) as well as the contents of 12 metal trace elements (ETMs) in total or partial extraction and 70 persistent organic pollutants. All the sampling protocols, measurements and observations made on each site during this campaign are detailed in the 2006 Soil Quality Measurement Network Manual.

    Obtaining the values: The cartograms produced are based on the results of analyses of 2146 metropolis sites, spread over 2146 cells, implemented during the first RMQS campaign (2000-2009). The analyses were carried out on composite samples taken from the tarere using 2 layers of sampling (0-30 cm or thickness of the layer worked in cultured soil called surface composite or composite 1 and the underlying layer up to 50 cm, called sub-surface composite or composite 2). Each composite sample was made from a mixture of 25 individual samples taken from a 400 m² sampling area according to a stratified random sampling plan (see description in the RMQS Manual, 2006). A third layer of sampling from composite samples could be formed in forest or grassland from the holorganic horizons (corresponding to the soil horizons OF and OH) when these horizons were sufficiently thick (at least 1 cm) and continuous on the sampling surface.

    The cartograms are a geographical representation of the actual contents (concentration in unit of measurement per mass of air dried soil) measured for the parameter quoted, at each point of the Network of Soil Quality Measurements (RMQS), during the first campaign (2000-2009). The soil analyses were carried out by the Laboratory for Soil Analysis of the INRA in Arras during the campaign, from 2002 to 2011, as the network was deployed, and for certain parameters, a posteriori, on the samples stored at the European Conservatory of Soils.

    The cartograms have not been created with the actual coordinates of the sampling devices, in accordance with the legal framework currently in force and to meet our commitment to anonymisation of data. The dataset provided together with these cartograms will include the coordinates of the center of the mesh, called centroid coordinates or theoretical coordinates.

    A metadata table associated with the dataset (accessible via the links below) details for each parameter represented, the method of analysis, the unit, the detection threshold and the analytical uncertainty associated with the analysis provided by the LAS.

  3. g

    PH Cartograms (Doed in Water) measured on QMRS, Campaign 1 (2001-2009)

    • gimi9.com
    Updated Dec 17, 2024
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    (2024). PH Cartograms (Doed in Water) measured on QMRS, Campaign 1 (2001-2009) [Dataset]. https://gimi9.com/dataset/eu_3ad35f04-7dbb-5aee-8af5-99abb8276977/
    Explore at:
    Dataset updated
    Dec 17, 2024
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    The Soil Quality Measurement Network (RMQS) is a national long-term soil quality assessment and monitoring program. This network is based on the monitoring of 2240 sites representative of French soils and their occupations, distributed throughout the French territory (metropole and overseas) according to a systematic grid of 16 km side. The sites cover various occupations (large crops, permanent meadows, forests, vineyards and orchards, low-anthropised environments, urban parks). The physical, chemical and biological properties of soils are measured at each site with a periodicity of about fifteen years. These analyses are associated with the investigation of factors explaining the spatial and temporal variability of soil properties (biophysical variables, sources of contamination, history of occupation and site management practices). The first tax year in metropolitan France took place from 2000 to 2009. This campaign, focused on soil contamination, made it possible to map the main soil parameters (28 variables) as well as the contents of 12 metal trace elements (ETMs) in total or partial extraction and 70 persistent organic pollutants. All the sampling protocols, measurements and observations made on each site during this campaign are detailed in the 2006 Soil Quality Measurement Network Manual. Obtaining the values: The cartograms produced are based on the results of analyses of 2146 metropolis sites, spread over 2146 cells, implemented during the first RMQS campaign (2000-2009). The analyses were carried out on composite samples taken from the tarere using 2 layers of sampling (0-30 cm or thickness of the layer worked in cultured soil called surface composite or composite 1 and the underlying layer up to 50 cm, called sub-surface composite or composite 2). Each composite sample was made from a mixture of 25 individual samples taken from a 400 m² sampling area according to a stratified random sampling plan (see description in the RMQS Manual, 2006). A third layer of sampling from composite samples could be formed in forest or grassland from the holorganic horizons (corresponding to the soil horizons OF and OH) when these horizons were sufficiently thick (at least 1 cm) and continuous on the sampling surface. The cartograms are a geographical representation of the actual contents (concentration in unit of measurement per mass of air dried soil) measured for the parameter quoted, at each point of the Network of Soil Quality Measurements (RMQS), during the first campaign (2000-2009). The soil analyses were carried out by the Laboratory for Soil Analysis of the INRA in Arras during the campaign, from 2002 to 2011, as the network was deployed, and for certain parameters, a posteriori, on the samples stored at the European Conservatory of Soils. The cartograms have not been created with the actual coordinates of the sampling devices, in accordance with the legal framework currently in force and to meet our commitment to anonymisation of data. The dataset provided together with these cartograms will include the coordinates of the center of the mesh, called centroid coordinates or theoretical coordinates. A metadata table associated with the dataset (accessible via the links below) details for each parameter represented, the method of analysis, the unit, the detection threshold and the analytical uncertainty associated with the analysis provided by the LAS.

  4. e

    Cartograms of point fine sand grades measured on the QSR, Campaign 1...

    • data.europa.eu
    Updated Jan 27, 2023
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    (2023). Cartograms of point fine sand grades measured on the QSR, Campaign 1 (2001-2009) [Dataset]. https://data.europa.eu/data/datasets/0fac12eb-0643-52b8-b58b-ee60fe431dab?locale=en
    Explore at:
    Dataset updated
    Jan 27, 2023
    Description

    The Soil Quality Measurement Network (RMQS) is a national long-term soil quality assessment and monitoring program. This network is based on the monitoring of 2240 sites representative of French soils and their occupations, distributed throughout the French territory (metropole and overseas) according to a systematic grid of 16 km side. The sites cover various occupations (large crops, permanent meadows, forests, vineyards and orchards, low-anthropised environments, urban parks). The physical, chemical and biological properties of soils are measured at each site with a periodicity of about fifteen years. These analyses are associated with the investigation of factors explaining the spatial and temporal variability of soil properties (biophysical variables, sources of contamination, history of occupation and site management practices). The first tax year in metropolitan France took place from 2000 to 2009. This campaign, focused on soil contamination, made it possible to map the main soil parameters (28 variables) as well as the contents of 12 metal trace elements (ETMs) in total or partial extraction and 70 persistent organic pollutants. All the sampling protocols, measurements and observations made on each site during this campaign are detailed in the 2006 Soil Quality Measurement Network Manual.

    Obtaining the values: The cartograms produced are based on the results of analyses of 2146 metropolis sites, spread over 2146 cells, implemented during the first RMQS campaign (2000-2009). The analyses were carried out on composite samples taken from the tarere using 2 layers of sampling (0-30 cm or thickness of the layer worked in cultured soil called surface composite or composite 1 and the underlying layer up to 50 cm, called sub-surface composite or composite 2). Each composite sample was made from a mixture of 25 individual samples taken from a 400 m² sampling area according to a stratified random sampling plan (see description in the RMQS Manual, 2006). A third layer of sampling from composite samples could be formed in forest or grassland from the holorganic horizons (corresponding to the soil horizons OF and OH) when these horizons were sufficiently thick (at least 1 cm) and continuous on the sampling surface.

    The cartograms are a geographical representation of the actual contents (concentration in unit of measurement per mass of air dried soil) measured for the parameter quoted, at each point of the Network of Soil Quality Measurements (RMQS), during the first campaign (2000-2009). The soil analyses were carried out by the Laboratory for Soil Analysis of the INRA in Arras during the campaign, from 2002 to 2011, as the network was deployed, and for certain parameters, a posteriori, on the samples stored at the European Conservatory of Soils.

    The cartograms have not been created with the actual coordinates of the sampling devices, in accordance with the legal framework currently in force and to meet our commitment to anonymisation of data. The dataset provided together with these cartograms will include the coordinates of the center of the mesh, called centroid coordinates or theoretical coordinates.

    A metadata table associated with the dataset (accessible via the links below) details for each parameter represented, the method of analysis, the unit, the detection threshold and the analytical uncertainty associated with the analysis provided by the LAS.

  5. e

    Cartograms of point concentrations in Total Azote measured on the QSR,...

    • data.europa.eu
    Updated Jan 27, 2023
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    (2023). Cartograms of point concentrations in Total Azote measured on the QSR, Campaign 1 (2001-2009) [Dataset]. https://data.europa.eu/data/datasets/3484514d-d449-5116-b52c-7f38140b502a?locale=en
    Explore at:
    Dataset updated
    Jan 27, 2023
    Description

    The Soil Quality Measurement Network (RMQS) is a national long-term soil quality assessment and monitoring program. This network is based on the monitoring of 2240 sites representative of French soils and their occupations, distributed throughout the French territory (metropole and overseas) according to a systematic grid of 16 km side. The sites cover various occupations (large crops, permanent meadows, forests, vineyards and orchards, low-anthropised environments, urban parks). The physical, chemical and biological properties of soils are measured at each site with a periodicity of about fifteen years. These analyses are associated with the investigation of factors explaining the spatial and temporal variability of soil properties (biophysical variables, sources of contamination, history of occupation and site management practices). The first tax year in metropolitan France took place from 2000 to 2009. This campaign, focused on soil contamination, made it possible to map the main soil parameters (28 variables) as well as the contents of 12 metal trace elements (ETMs) in total or partial extraction and 70 persistent organic pollutants. All the sampling protocols, measurements and observations made on each site during this campaign are detailed in the 2006 Soil Quality Measurement Network Manual.

    Obtaining the values: The cartograms produced are based on the results of analyses of 2146 metropolis sites, spread over 2146 cells, implemented during the first RMQS campaign (2000-2009). The analyses were carried out on composite samples taken from the tarere using 2 layers of sampling (0-30 cm or thickness of the layer worked in cultured soil called surface composite or composite 1 and the underlying layer up to 50 cm, called sub-surface composite or composite 2). Each composite sample was made from a mixture of 25 individual samples taken from a 400 m² sampling area according to a stratified random sampling plan (see description in the RMQS Manual, 2006). A third layer of sampling from composite samples could be formed in forest or grassland from the holorganic horizons (corresponding to the soil horizons OF and OH) when these horizons were sufficiently thick (at least 1 cm) and continuous on the sampling surface.

    The cartograms are a geographical representation of the actual contents (concentration in unit of measurement per mass of air dried soil) measured for the parameter quoted, at each point of the Network of Soil Quality Measurements (RMQS), during the first campaign (2000-2009). The soil analyses were carried out by the Laboratory for Soil Analysis of the INRA in Arras during the campaign, from 2002 to 2011, as the network was deployed, and for certain parameters, a posteriori, on the samples stored at the European Conservatory of Soils.

    The cartograms have not been created with the actual coordinates of the sampling devices, in accordance with the legal framework currently in force and to meet our commitment to anonymisation of data. The dataset provided together with these cartograms will include the coordinates of the center of the mesh, called centroid coordinates or theoretical coordinates.

    A metadata table associated with the dataset (accessible via the links below) details for each parameter represented, the method of analysis, the unit, the detection threshold and the analytical uncertainty associated with the analysis provided by the LAS.

  6. a

    WISE SoE: Phytoplankton in lakes

    • hub.arcgis.com
    Updated Jul 14, 2014
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    European Environment Agency (2014). WISE SoE: Phytoplankton in lakes [Dataset]. https://hub.arcgis.com/maps/7b02ebd2d8d94f48b3d98b926a256087
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    Dataset updated
    Jul 14, 2014
    Dataset authored and provided by
    European Environment Agency
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Area covered
    Description

    This map shows the ecological status (i.e. status or potential) of phytoplankton in European lakes (i.e. lakes and reservoirs) potentially impacted by eutrophication. The ecological status class of a country's waterbodies (or stations) is assessed by each country according to their national classification system, following the Water Framework Directive. The assessment may be based by one or more samples measured during the year of reporting.. The purpose of this map is to show ecological status of individual biological quality elements (BQEs) and the major impact types. In comparison, the map layer "Ecological status or potential of water bodies" in the WFD Surface Water Viewer (http://www.eea.europa.eu/themes/water/interactive/soe-wfd/wfd-surface), displays ecological status or potential based on all BQEs combined, represented by the BQE with the worst class (the "one-out-all-out" principle). Moreover, the maps based on SoE-WISE biological data will be updated yearly, whereas the WFD database will be updated every 6th year. The data on the ecological status (i.e. status or potential) of phytoplankton in lakes is displayed in the following 2 layers:• Phytoplankton in lakes by country • Phytoplankton in lakes by stationLayer: Phytoplankton in lakes by country displays the ecological status of phytoplankton in lakes as classified cartograms , showing the distribution of status classes per country as one bar- chart for each country. This can be used to compare the situation in your country with that in other countries. Layer: Phytoplankton in lakes by station displays the location of the Eionet-Water river stations where phytoplankton was monitored. Station points are coloured according to the class of ecological status of phytoplankton (as shown in the legend on the left-hand side of the map). The map shows the data provided in 2013 ( = sampled in 2012) or the latest reported year.

  7. a

    WISE SoE: Phytobenthos in rivers

    • hub.arcgis.com
    Updated Jul 14, 2014
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    European Environment Agency (2014). WISE SoE: Phytobenthos in rivers [Dataset]. https://hub.arcgis.com/maps/62a39666b6804ee19552256b3433872b
    Explore at:
    Dataset updated
    Jul 14, 2014
    Dataset authored and provided by
    European Environment Agency
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Area covered
    Description

    This map shows the ecological status (i.e. status or potential) of phytobenthos in European rivers (i.e. rivers and canals) potentially impacted by eutrophication. The ecological status class of a country's waterbodies (or stations) is assessed by each country according to their national classification system, following the Water Framework Directive. The assessment may be based by one or more samples measured during the year of reporting. The purpose of this map is to show ecological status of individual biological quality elements (BQEs) and the major impact types. In comparison, the map layer "Ecological status or potential of water bodies" in the WFD Surface Water Viewer (http://www.eea.europa.eu/themes/water/interactive/soe-wfd/wfd-surface), displays ecological status or potential based on all BQEs combined, represented by the BQE with the worst class (the "one-out-all-out" principle). Moreover, the maps based on SoE-WISE biological data will be updated yearly, whereas the WFD database will be updated every 6th year. The data on the ecological status (i.e. status or potential) of phytobenthos in rivers is displayed in the following 2 layers:• Phytobenthos in rivers by country • Phytobenthos in rivers by stationLayer: Phytobenthos in rivers by country displays the ecological status of phytobenthos in rivers as classified cartograms , showing the distribution of status classes per country as one bar- chart for each country. This can be used to compare the situation in your country with that in other countries. Layer: Phytobenthos in rivers by station displays the location of the Eionet-Water river stations where phytobenthos were monitored. Station points are coloured according to the class of ecological status of phytobenthos (as shown in the legend on the left-hand side of the map). The map shows the data provided in 2013 ( = sampled in 2012) or the latest reported year.

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    Learn how you can add new datasets to our index.

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Harvard Dataverse (2020). Software and Example Data for F4Carto: A Fast and Flexible Force-based Transformation Framework for Cartograms [Dataset]. http://doi.org/10.7910/DVN/6ST8NQ

Software and Example Data for F4Carto: A Fast and Flexible Force-based Transformation Framework for Cartograms

Related Article
Explore at:
exe(4756720), application/zipped-shapefile(82617), exe(244736), exe(20672), exe(18624), exe(28864), exe(449264), exe(755200), exe(80112), bin(1183), exe(522752), exe(20160), bin(1185), exe(198144), bin(1182), application/zipped-shapefile(3017712), exe(1404928), exe(24256), pdf(368477), application/zipped-shapefile(2666933), exe(22720), exe(22208)Available download formats
Dataset updated
Apr 17, 2020
Dataset provided by
Harvard Dataverse
License

CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automatically

Description

The Windows 64-bit executable program of F4Carto and example data for contiguous cartograms. The program was developed based on the Fast and Flexible Force-based Transformation Framework for Cartograms. Sample data include 48 US contiguous states, US counties in these states, and the world countries and regions.

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