array(0) { } array(5) { [0]=> string(16) "Machine learning" [1]=> string(7) "PyTorch" [2]=> string(2) "AI" [3]=> string(3) "CNN" [4]=> string(28) "Convolutional Neural Network" } array(4) { [0]=> string(12) "introduction" [1]=> string(16) "Machine learning" [2]=> string(7) "PyTorch" [3]=> string(2) "AI" } array(1) { [0]=> string(9) "CyberGISX" } array(3) { [0]=> string(9) "CyberGISX" [1]=> string(6) "Python" [2]=> string(16) "CyberGIS-Jupyter" } array(3) { [0]=> string(7) "Chicago" [1]=> string(11) "brownfields" [2]=> string(6) "income" } array(0) { } array(0) { } array(1) { [0]=> string(12) "poverty rate" } array(0) { } array(0) { } array(0) { } array(0) { } array(4) { [0]=> string(21) "Spatial Accessibility" [1]=> string(24) "CyberGIS-Compute Service" [2]=> string(16) "cybergis-compute" [3]=> string(7) "I-GUIDE" } array(0) { } array(0) { } array(0) { } array(0) { } array(0) { } array(0) { } array(3) { [0]=> string(9) "CyberGISX" [1]=> string(6) "Python" [2]=> string(6) "OpenAI" } array(4) { [0]=> string(5) "solar" [1]=> string(4) "wind" [2]=> string(16) "renewable energy" [3]=> string(10) "geospatial" } array(3) { [0]=> string(9) "CyberGISX" [1]=> string(6) "Python" [2]=> string(6) "Kernel" } array(6) { [0]=> string(3) "osm" [1]=> string(5) "osmnx" [2]=> string(13) "openstreetmap" [3]=> string(7) "osmosis" [4]=> string(9) "osmfilter" [5]=> string(3) "VGI" } array(6) { [0]=> string(24) "Named Entity Recognition" [1]=> string(19) "Text Classification" [2]=> string(27) "Knowledge Extraction System" [3]=> string(19) "Knowledge Hypercube" [4]=> string(32) "Geographic Information Retrieval" [5]=> string(37) "Weakly-Supervised Text Classification" } array(2) { [0]=> string(5) "WWTPs" [1]=> string(8) "refinery" } array(3) { [0]=> string(16) "cybergis-compute" [1]=> string(8) "Workshop" [2]=> string(8) "tutorial" } array(3) { [0]=> string(3) "GIS" [1]=> string(17) "Urban Informatics" [2]=> string(7) "Sensors" } array(3) { [0]=> string(9) "CyberGISX" [1]=> string(7) "Modules" [2]=> string(4) "Lmod" } array(3) { [0]=> string(16) "Machine learning" [1]=> string(8) "disaster" [2]=> string(16) "resilience index" } array(1) { [0]=> string(9) "CyberGISX" } array(6) { [0]=> string(3) "NYC" [1]=> string(5) "osmnx" [2]=> string(7) "network" [3]=> string(11) "travel-time" [4]=> string(7) "traffic" [5]=> string(4) "road" } array(4) { [0]=> string(12) "Google Colab" [1]=> string(16) "Machine learning" [2]=> string(18) "Image Segmentation" [3]=> string(11) "U-net model" } array(0) { } array(6) { [0]=> string(12) "introduction" [1]=> string(3) "HPC" [2]=> string(16) "cybergis-compute" [3]=> string(8) "Workshop" [4]=> string(8) "tutorial" [5]=> string(3) "AAG" } array(0) { } array(0) { } array(0) { } array(1) { [0]=> string(79) "Geospatial Analysis Visualisation Heatmap Point Data USA Health Clinical Trials" } array(3) { [0]=> string(7) "Mapping" [1]=> string(14) "Choropleth Map" [2]=> string(5) "Pysal" } array(3) { [0]=> string(3) "HPC" [1]=> string(24) "CyberGIS-Compute Service" [2]=> string(16) "cybergis-compute" } array(2) { [0]=> string(14) "Choropleth Map" [1]=> string(5) "Pysal" } array(0) { } array(0) { } array(1) { [0]=> string(16) "Geovisualization" } array(3) { [0]=> string(3) "osm" [1]=> string(5) "osmnx" [2]=> string(4) "uiuc" } array(6) { [0]=> string(8) "COVID-19" [1]=> string(20) "Social Vulnerability" [2]=> string(16) "Geovisualization" [3]=> string(13) "vulnerability" [4]=> string(8) "disaster" [5]=> string(16) "visual analytics" } array(6) { [0]=> string(8) "COVID-19" [1]=> string(20) "Social Vulnerability" [2]=> string(16) "Geovisualization" [3]=> string(13) "vulnerability" [4]=> string(8) "disaster" [5]=> string(16) "visual analytics" } array(1) { [0]=> string(7) "Mapping" } array(0) { } array(0) { } array(3) { [0]=> string(7) "I-GUIDE" [1]=> string(11) "Census data" [2]=> string(12) "Data privacy" } array(5) { [0]=> string(8) "COVID-19" [1]=> string(21) "Spatial Accessibility" [2]=> string(24) "CyberGIS-Compute Service" [3]=> string(16) "cybergis-compute" [4]=> string(14) "spatial access" } array(4) { [0]=> string(7) "Chicago" [1]=> string(21) "Spatial Accessibility" [2]=> string(16) "cybergis-compute" [3]=> string(14) "spatial access" } array(0) { } array(3) { [0]=> string(10) "geoprivacy" [1]=> string(7) "I-GUIDE" [2]=> string(13) "GIS&T BoK" } array(0) { } array(1) { [0]=> string(7) "geog489" } array(2) { [0]=> string(7) "Chicago" [1]=> string(7) "geog489" } array(4) { [0]=> string(7) "Chicago" [1]=> string(4) "uiuc" [2]=> string(7) "geog489" [3]=> string(11) "food safety" } array(5) { [0]=> string(7) "geog489" [1]=> string(7) "network" [2]=> string(9) "emissions" [3]=> string(4) "grid" [4]=> string(11) "electricity" } array(1) { [0]=> string(7) "geog489" } array(5) { [0]=> string(13) "Visualization" [1]=> string(9) "HIV rates" [2]=> string(25) "Web-based GIS application" [3]=> string(19) "estimated HIV rates" [4]=> string(12) "CyberGIS-Viz" } array(1) { [0]=> string(7) "geog489" } array(6) { [0]=> string(17) "agent-based model" [1]=> string(9) "Influenza" [2]=> string(3) "pso" [3]=> string(12) "optimization" [4]=> string(11) "calibration" [5]=> string(6) "health" } array(3) { [0]=> string(9) "CyberGISX" [1]=> string(14) "spatial access" [2]=> string(16) "Geovisualization" } array(0) { } array(5) { [0]=> string(18) "Geospatial Fellows" [1]=> string(3) "NYC" [2]=> string(11) "webscraping" [3]=> string(4) "html" [4]=> string(11) "webscraping" } array(5) { [0]=> string(18) "Geospatial Fellows" [1]=> string(7) "vaccine" [2]=> string(3) "NYC" [3]=> string(9) "geocoding" [4]=> string(12) "Google Cloud" } array(5) { [0]=> string(14) "spatial access" [1]=> string(18) "Geospatial Fellows" [2]=> string(7) "vaccine" [3]=> string(3) "NYC" [4]=> string(14) "public transit" } array(0) { } array(0) { } array(4) { [0]=> string(7) "Mapping" [1]=> string(7) "GIS Day" [2]=> string(8) "Workshop" [3]=> string(16) "Geovisualization" } array(6) { [0]=> string(9) "CyberGISX" [1]=> string(6) "Python" [2]=> string(21) "Spatial Accessibility" [3]=> string(18) "Geospatial Fellows" [4]=> string(8) "ICU beds" [5]=> string(11) "Uncertainty" } array(8) { [0]=> string(9) "Influenza" [1]=> string(19) "Social Determinants" [2]=> string(13) "Racial Trauma" [3]=> string(4) "1918" [4]=> string(8) "Pandemic" [5]=> string(4) "Race" [6]=> string(9) "Disparity" [7]=> string(6) "Equity" } array(0) { } array(0) { } array(3) { [0]=> string(6) "Vector" [1]=> string(8) "Drainage" [2]=> string(5) "Lidar" } array(3) { [0]=> string(10) "HydroShare" [1]=> string(3) "CJW" [2]=> string(5) "PyViz" } array(3) { [0]=> string(10) "HydroShare" [1]=> string(3) "CJW" [2]=> string(5) "GRASS" } array(4) { [0]=> string(10) "HydroShare" [1]=> string(16) "cybergis-compute" [2]=> string(3) "CJW" [3]=> string(6) "Globus" } array(5) { [0]=> string(10) "HydroShare" [1]=> string(7) "Modules" [2]=> string(9) "Easybuild" [3]=> string(7) "Jupyter" [4]=> string(6) "Kernel" } array(4) { [0]=> string(4) "HAND" [1]=> string(10) "HydroShare" [2]=> string(3) "CJW" [3]=> string(6) "TauDEM" } array(6) { [0]=> string(10) "HydroShare" [1]=> string(3) "CJW" [2]=> string(8) "WRFHydro" [3]=> string(8) "Training" [4]=> string(3) "WRF" [5]=> string(7) "Coupled" } array(4) { [0]=> string(10) "HydroShare" [1]=> string(3) "CJW" [2]=> string(8) "WRFHydro" [3]=> string(8) "Training" } array(5) { [0]=> string(6) "CAMELS" [1]=> string(10) "HydroShare" [2]=> string(16) "cybergis-compute" [3]=> string(3) "CJW" [4]=> string(5) "SUMMA" } array(5) { [0]=> string(10) "HydroShare" [1]=> string(20) "National Water Model" [2]=> string(16) "cybergis-compute" [3]=> string(3) "CJW" [4]=> string(8) "WRFHydro" } array(4) { [0]=> string(10) "HydroShare" [1]=> string(16) "cybergis-compute" [2]=> string(3) "CJW" [3]=> string(5) "SUMMA" } array(4) { [0]=> string(10) "HydroShare" [1]=> string(7) "RHESSys" [2]=> string(16) "cybergis-compute" [3]=> string(3) "CJW" } array(0) { } array(0) { } array(3) { [0]=> string(8) "Illinois" [1]=> string(14) "spatial access" [2]=> string(5) "E2FCA" } array(3) { [0]=> string(10) "simulation" [1]=> string(16) "cybergis-compute" [2]=> string(7) "fireabm" } array(0) { } array(2) { [0]=> string(3) "HPC" [1]=> string(24) "CyberGIS-Compute Service" } array(2) { [0]=> string(34) "geographically weighted regression" [1]=> string(14) "incidence rate" } array(1) { [0]=> string(34) "geographically weighted regression" } array(1) { [0]=> string(11) "interactive" } array(2) { [0]=> string(6) "arcgis" [1]=> string(14) "georeferencing" } array(2) { [0]=> string(9) "shapefile" [1]=> string(6) "arcmap" } array(1) { [0]=> string(14) "remote desktop" } array(1) { [0]=> string(6) "widget" } array(1) { [0]=> string(3) "GWR" } array(3) { [0]=> string(12) "introduction" [1]=> string(16) "Jupyter Notebook" [2]=> string(5) "Style" } array(2) { [0]=> string(12) "introduction" [1]=> string(6) "Python" } array(2) { [0]=> string(12) "introduction" [1]=> string(16) "Jupyter Notebook" } array(2) { [0]=> string(12) "introduction" [1]=> string(16) "Jupyter Notebook" } array(3) { [0]=> string(12) "introduction" [1]=> string(13) "Nobel Project" [2]=> string(7) "Mapping" } array(4) { [0]=> string(17) "agent-based model" [1]=> string(14) "ALMA framework" [2]=> string(13) "microeconomic" [3]=> string(10) "simulation" } array(3) { [0]=> string(21) "Spatial interpolation" [1]=> string(7) "Chicago" [2]=> string(7) "Kriging" } array(5) { [0]=> string(13) "Visualization" [1]=> string(12) "Google Colab" [2]=> string(9) "geopandas" [3]=> string(5) "bokeh" [4]=> string(9) "Wisconsin" } array(2) { [0]=> string(10) "Healthcare" [1]=> string(8) "Illinois" } array(0) { } array(2) { [0]=> string(19) "Spatial Correlation" [1]=> string(8) "New York" } array(1) { [0]=> string(14) "Choropleth Map" } array(3) { [0]=> string(17) "agent-based model" [1]=> string(7) "Seattle" [2]=> string(16) "CyberGIS-Jupyter" } array(0) { } array(1) { [0]=> string(21) "Spatial Accessibility" } array(0) { } array(0) { } array(2) { [0]=> string(12) "introduction" [1]=> string(9) "CyberGISX" } array(0) { } array(0) { } Done!