Visualizing Texas Cropland Usage: Data Processing and Analysis

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Explore how Amy Farley's project in GEOG 585 Spring I, 2019 visualized Texas cropland usage between 2008 and 2017. Utilizing primary data visualization and open-source technology, the project integrated various data sources, processed basemaps and vector data, and exposed the findings through interactive maps and supplemental data visualizations.

  • Data Visualization
  • Texas Cropland
  • Geospatial Technology
  • Open-Source
  • Research Extension
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  1. TERM PROJECT Amy Farley GEOG 585 Spring I, 2019

  2. VISUALIZING TEXAS CROPLAND USAGE AMY FARLEY, GEOG 585 SPRING I, 2019

  3. PURPOSE Primary Data Visualization for Research Extension of term project completed in GEOG 586 analyzing agricultural crop land uses in Texas between 2008 and 2017 Secondary Experience with GeoServer and layer styling Experiment with time series data presentation on a web map Experiment with supplemental data visualizations to complement and explain map display AMY FARLEY, GEOG 585 SPRING I, 2019

  4. TECHNOLOGY SNAPSHOT All Open-Source AMY FARLEY, GEOG 585 SPRING I, 2019

  5. DATA SOURCES Basemaps Vector Data Texas Tech University Center for Geospatial Technology Texas Department of Transportation Open Data Portal Texas Natural Resources Information Systems (TNRIS) Data Search & Download Texas Water Development Board GIS Data Thematic Layers Raster Data U.S. Department of Agriculture CropScape Element Interactivity Data Attribute data compiled from previous GEOG 586 class joined to vector data AMY FARLEY, GEOG 585 SPRING I, 2019

  6. DATA PROCESSING Basemaps Vector Data Clip: GDAL ogr2ogr clipsrc Reproject: GDAL ogr2ogr -s_srs EPSG:4326 -t_srs EPSG:3857 Batch Processing: Windows Batch Script Tile Generation: TileMill Thematic Layers Raster Data Reprojection: GDAL gdalwarp -t_srs EPSG:3857 Reclassification: - Isolating ONLY cropland from all other land uses Color map file creation using from raster *.dbf file using MS Excel concatenation function Import color map file in QGIS Symbology editor Simple binary reclass: GDAL gdal_calc.py with numpy array function containing only cropland values Advanced reclassification (distinct colors for each crop type): Text file creation of reclassification rules from color map GRASS r.reclass module in QGIS Element Interactivity Data QGIS Join shapefile to attribute data Excel to *.csv file for D3 charting AMY FARLEY, GEOG 585 SPRING I, 2019

  7. DATA EXPOSURE Basemaps Primary basemap is a collection of tiles created using TileMill being served from PASS Explorer Secondary basemap served as Web Map Service (WMS) layer from local GeoServer instance Thematic Layers Raster layers served as WMS layers from local GeoServer instance Styling custom Style Layer Descriptor (SLD) created through a series of steps to retain distinct crop type coloring QGIS Symbology editor Import color map file Save style as the QGIS Layer Style File (*.qml) Text Editor open Many Color gradient SLD from the GeoServer SLD Cookbook copy in <paletteEntry> nodes from the QGIS *.qml file search and replace to reformat those lines as <ColorMapEntry> for SLD syntax Element Interactivity Data County feature data served as WMS from local GeoServer instance D3 chart data exposed client-side in the browser from *.csv AMY FARLEY, GEOG 585 SPRING I, 2019

  8. DATA INTERACTIVITY Time Slider Sliding to a different year automatically redraws the thematic cropland raster overlay for the selected year Changes data in the HTML being displayed when a county feature has been selected Changes the supplemental chart data being displayed County Feature Click Displays area and cropland usage information for the selected county Basemap Layer Control Changes the underlying basemap for cropland visualizations with and without additional county feature context AMY FARLEY, GEOG 585 SPRING I, 2019

  9. DATA EXTRAS Time Slider Control User controls changing thematic layer overlays on the web map D3 Facilitates dynamic chart creation upon thematic layer change Leaflet Layer Control User controls underlying basemap display GeoServer WMS GetLegendGraphic operation Dynamic legend display from GeoServer layer based on SLD Javascript Collapsible HTML <div> tags Leaflet Scale Control Leaflet layer attribution AMY FARLEY, GEOG 585 SPRING I, 2019

  10. CODE https://github.com/atxFarley/GEOG585 AMY FARLEY, GEOG 585 SPRING I, 2019

  11. REFERENCES Agafonkin, V. (2017). Leaflet. Retrieved from Leaflet: http://leafletjs.com/ AliasIO. (n.d.). Wappalyzer. Retrieved 2019, from https://www.wappalyzer.com/ Bennett, S. (2013, September 11). Terrain in TileMill: a walkthrough for non-GIS types. Retrieved from Steve Bennett blogs about maps, open data, Git, and other tech: https://stevebennett.me/2013/09/11/terrain-in-tilemill-a-walkthrough-for-non-gis-types/ Bennett, S. (2017, August 23). OpenStreetMap vector tiles: mixing and matching engines, schemas and styles. Retrieved from Steve Bennett blogs about maps, open data, Git, and other tech: https://stevebennett.me/2017/08/23/openstreetmap-vector-tiles-mixing-and-matching-engines-schemas-and-styles/ Bostock, M. (2017). D3 Data-Driven Documents. Retrieved from D3 Data-Driven Documents: https://d3js.org/ Bostock, M. (2018, October 27). d3/d3 Gallery. Retrieved from GitHub: https://github.com/d3/d3/wiki/Gallery Cameron, D. (2014). A Software Engineer Learns HTML5, JavaScript & jQuery. Cisdale Publishing. Farley, A. (2019, January). atxFarley/GEOG585. Retrieved from GitHub: https://github.com/atxFarley/GEOG585 GDAL/OGR contributors, & Open Source Geospatial Foundation. (n.d.). GDAL - Geospatial Data Abstraction Library. Retrieved 2019, from GDAL: https://www.gdal.org/ Open Source Geospatial Foundation. (2014). Retrieved from GeoServer: http://geoserver.org Open Source Geospatial Foundation. (2017). SLD Cookbook. Retrieved from GeoServer: https://docs.geoserver.org/stable/en/user/styling/sld/cookbook/index.html Open Source Geospatial Foundation. (2017). SLD Reference. Retrieved from GeoServer: https://docs.geoserver.org/stable/en/user/styling/sld/reference/index.html#sld- reference PVANB. (2014, February 5). Creating a QGIS color map from text file. Retrieved from Ecostudies: https://pvanb.wordpress.com/2014/02/05/creating-a-qgis-color-map- from-text-file/ QGIS Development Team, & The Open Source Geospatial Foundation . (n.d.). QGIS Documentation. Retrieved 2019, from QGIS: https://qgis.org/en/docs/index.html Quinn, S. (n.d.). GEOG 585: Open Web Mapping. Retrieved 2019, from John A. Dutton e-Education Institute, College of Earth and Mineral Sciences, The Pennsylvania State University: https://www.e-education.psu.edu/geog585 Texas Department of Transportation. (2018). Open Data Portal. Retrieved from Texas Department of Transportation: http://gis-txdot.opendata.arcgis.com/ Texas Natural Resources Information System, & Texas Water Development Board. (n.d.). Online Mapping Services. Retrieved from TEXAS NATURAL RESOURCES INFORMATION SYSTEM (TNRIS): https://tnris.org/maps-and-data/online-mapping-services/ Texas Water Development Board. (n.d.). GIS Data. Retrieved 2019, from Texas Water Development Board: http://www.twdb.texas.gov/mapping/gisdata.asp United States Department of Agriculture. (n.d.). CropScape - Cropland Data Layer. Retrieved 2019, from USDA National Agricultural Statistics Service: https://nassgeodata.gmu.edu/CropScape/ Walker, K. (n.d.). Kyle E. Walker, Ph.D. Retrieved from Kyle E. Walker, Ph.D.: http://personal.tcu.edu/kylewalker/index.html Wilhelm, D. (2017). LeafletSlider. Retrieved from GitHub: https://github.com/dwilhelm89/LeafletSlider AMY FARLEY, GEOG 585 SPRING I, 2019

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