Data

 

Data supporting paper J. Nowosad, T. F. Stepinski, Spatial association between regionalizations using the information-theoretical V-measure. Paper submitted to International Journal of Geographical Information Science.

  • Context 1 data. Comparitive: the EPA Level III map of ecoregions and the Terrestrial Ecoregions of the World map

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  • Context 2 data. Associative: the EPA Level III map of ecoregions, maps of four factors: land cover, soils, landforms, and climate and pattern-based segmentations of land cover, soils and landforms

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  • Context 3 data. Derivative: NLCD 2011 over the study area located around Atlanta, Georgia and 19 classifications of this area (from N = 2 to N = 20)

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Global dataset of gridded population and GDP (1980-2010 estimations and 2020-2100 scenarios). More information about the dataset can be found at the github website.

  • Vector data.   One .gpkg file containing all the data (58 MB file)

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  • Raster data.   62 .tif files for each year, variable, and scenario (22 MB zipped file)

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Data supporting paper J. Nowosad, T. F. Stepinski, P. Netzel, Global assessment and mapping of changes in mesoscale landscapes: 1992–2015. Paper submitted to International Journal of Applied Earth Observation and Geoinformation.

  • A spatial database.   It contains a grid of changed landscapes with the full set of attributes - land cover transitions, change trajectories and changes to global distributions of PFTs (228 MB zipped file)

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  • Landcover data 1992.   Raster reclassified to 9 LC categories (286 MB zipped file)

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  • Landcover data 2015.   Raster reclassified to 9 LC categories (284 MB zipped file)

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  • Countries.   Vector with boundaries of countries

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  • Data description.   Description of the datasets

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Data supporting presentation J. Nowosad and T. F. Stepinski, A segmentation approach for a delineation of terrestrial ecoregions. Talk presented at the 2017 AGU Fall Meeting, New Orleans, LA, December 11-15 2017

  • Global Ecopatterns.  Ecophysiographic units based on an automatic delineation via pattern-based segmentation of global environmental variables: land cover, landforms, and soils types (97MB zipped file)

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  • Landcover data.  Worldwide CCI land cover (231MB zipped file)

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  • Landform data.   (182MB zipped file)

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  • Soils data.   Soil types data reclassified to 12 orders (243MB zipped file)

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Data supporting paper J. Nowosad and T. F. Stepinski,  Towards machine ecoregionalization of Earth’s landmass using pattern segmentation method. Paper published in International Journal of Applied Earth Observation and Geoinformation. Use QGIS open source GIS to view and analyze GIS data. GIS data also opens in ArcGIS but color legend needs to be manually assign.

  • Landcover data.  Worldwide CCI land cover (231MB zipped file)

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  • Bioclimate data.   (68MB zipped file)

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  • Landform data.   (182MB zipped file)

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  • Soils data.   Soil types data reclassified to 12 orders (243MB zipped file)

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  • Vector datasets   The archive contains the vector maps of Bailey’s Ecoregions of the Continents (BEC), Terrestrial Ecoregions of the World (TEW), and our Ecophysiographic Regionalization (ECOR) in three different local spatial scales: 9km, 15km, and 30km (92MB zipped file)

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Data supporting paper J. Nowosad and T. F. Stepinski,  Worldwide inventory of landscape through segmentation of global land cover dataset. Paper submitted to the GeoComputation 2017 conference.

  • Reference data.  Worldwide CCI land cover to be used as a background for visual assessment of pattern cohesion within segments (231MB zipped file)

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  • Vector data.  The segments folder contains the vector maps of segments, the classes folder contains the intermidate results of the classification,  and the reduced_classes folder contains the final vector maps of landscape classes (LANDCs). All the data was created in three different local spatial scales: 9km, 15km, and 30km (43MB zipped file)

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Data supporting paper J. Nowosad and T. F. Stepinski,  Global inventory of landscape patterns and dimensions of landscape spatial configuration. Paper published in Ecological Indicators. Use QGIS open source GIS to view and analyze GIS data. GIS data also opens in ArcGIS but color legend needs to be manually assign.

  • Reference data.  Worldwide CCI land cover to be used as a background for visual assessment of pattern cohesion within segments (231MB zipped file)

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  • Regionalization data. Shapefiles of landscape patterns delineated for four different local spatial scales: 6km, 9km, 15km, and 30km (200MB zipped file)

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Data supporting paper J. Niesterowicz and T. Stepinski,  Delineation of small-scale forest land units in Canada via pattern-based segmentation of EOSD dataset. Paper published in International Journal of Applied Earth Observation and Geoinformation. Use QGIS open source GIS to view and analyze the data. In particular, attribute tables for Canada-wide segmentations of EOSD have 1037 columns and will not open in ArcGIS but will open in QGIS.

  • Reference data. EOSD LC2000 in the Canada Albers Equal Area Conical projection and shapefile with boundaries between Canadian provinces and territories. (2.9GB zipped file)

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  • Canada-wide segmentations of EOSD.  Four shapefiles and attribute tables with 1037 landscape indices corresponding to four scales: 2km, 5km, 10km, and 30km. (493MB zipped file)

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  • Quebec.  Segmentation and regionalization shapefiles for the province of Quebec for four diferent scales. EOSD for Quebec in the Canada Albers Equal Area Conical projection is included. (604MB zipped file)

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  • Ontario.  Segmentation and regionalization shapefiles for the province of Ontario for four diferent scales. EOSD for Ontario in the Canada Albers Equal Area Conical projection is included. (234MB zipped file)

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Data supporting papers A. Dmowska, T. Stepinski, P. Netzel (2017) Comprehensive framework for visualizing and analyzing spatio-temporal dynamics of racial diversity in the entire United States published in PLoS ONE 12 (3): e0174993 and  A.Dmowska, T.Stepinski (2017) A high resolution population grid for the conterminous United States: The 2010 edition published in Computers, Environment and Urban Systems 61, pp13-23, 2017.

  • 30m/pixel population, race and racial diversity grids for each county and for 363 metropolitan areas in the conterminous U.S. for 1990, 2000 and 2010. Data are organized as zip archive. Zip archives contain demographic grids regardless of county boundary changes, if county name was the same for all years. Data can be downloaded from this webpage.  Detailed description of available datasets is here.

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Data supporting paper J. Jasiewicz, T. Stepinski, J. Niesterowicz Multi-scale segmentation algorithm for pattern-based partitioning of large categorical rasters. Paper submitted to Computers & Geosciences

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  • Segmentation of topography

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  • US Geomorphons map (background for segmentation of topography)  1.6GB

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Software associated with paper is available here.


 

Data supporting paper P. Netzel and T.F. Stepinski (2015) Pattern-based assessment of land cover change on continental scale with application to NLCD 2001-2006. IEEE Transactions on Geoscience and Remote Sensing 53(4), pp1773-1781

  • 3 km/pixel map of 2001-2006 land cover change over the conterminous U.S. based on change in pattern (GeoTiff format, 13 MB)

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  • 3 km/pixel map of 2001-2006 land cover change over the conterminous U.S. based on change in composition of land cover classes (GeoTiff format, 13 MB)

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  • 3 km/pixel map of 2001-2006 land cover change over the conterminous U.S. based on percentage of unchanged pixels (GeoTiff format, 13 MB)

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Software associated with paper is available here.


 

Data supporting paper A. Dmowska and T.F. Stepinski (2014) High resolution dasymetric model of U.S demographics with application to spatial distribution of racial diversity. Applied Geography 53, pp417-426.

  • 90 m/pixel raster map (390 MB zipped file) of population counts over the conterminous U.S. based on the 2000 U.S. Census

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  • 90 m/pixel raster map (68 MB zipped file) of racial diversity over the conterminous U.S. based on the 2000 U.S. Census

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Data supporting paper J. Niesterowicz and T.F. Stepinski (2013) Regionalization of multi-categorical landscapes using machine vision methods. Applied Geography 45, pp250-258.

  • Package of maps (20 MB)

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Software associated with paper is available here.

Published on  June 15th, 2018

Announcements

The 2018 Gordon Research Conference on Unifying Ecology Across Scales, Biddeford, ME, July 22-27
J. Nowosad, T.F Stepinski Global changes in landscapes and vegetation types coverages between 1992 and 2015

Annual Meeting of Population Association of America, Chicago, IL, April 26-29 2017
A.Dmowska, T.Stepinski, Mapping Changes of Racial Composition in the United States: 1990–2010
(Session Innovative Methods and Data in Segregation Research, Thursday, April 27, 2017, 9:30AM) abstract paper

ClimateEx
new version of a Web-based query-by-example tool for finding places with similar climate is available here.

SocScape
now more detailed (30 m ) population and racial diversity grids for 1990, 2000, 2010 are available here.

High resolution demographic grids for each county in the conterminous U.S for 1990, 2000, 2010 year are available here.