ArcGIS Desktop For Spatial Analysis: Go From Basic To Pro

Explore ArcGIS Desktop, focusing on ArcMap and the catalog for data management, spatial analysis with extensions like Spatial Analyst, and working with base maps, on-the-fly projections, and raster conversion.

Learn to access and display spatial data in ArcGIS by connecting folders, adding data, and organizing data in a file geodatabase and using catalog for management.

Learn to find and identify features and values in ArcGIS Desktop across shapefiles and rasters, using identify tools, binoculars, and attribute tables to explore protected areas in Vietnam.

Learn to select polygons in a shape file by click, circle or rectangle, by attributes, and by location, then refine selections via the attribute table and switch options.

Learn to zoom and measure features in Octave for protected areas in Vietnam. Explore map scales, pan and magnifier tools, and calculate distances and areas on shapefiles.

Compute accurate areas for each district by adding an area field and using calculate geometry in ArcGIS, with data projected to UTM zone 48 north and outputs in square meters.

Learn to convert spatial data between geographic coordinates and projected systems using the project tool in data management, projecting shapefiles to WGS 84 zone 48N and back as needed.

Conclude section two by reviewing ESR products—map, catalog, extensions, and map layout—and learn to access a free trial, store and modify spatial data, and perform basic shapefile analyses.

Visualize raster data in ArcGIS by classifying raster values into categories using schemes like natural breaks, equal interval, manual, or standard deviation, then apply color ramps to emphasize higher values.

Use ArcGIS mosaic to stitch adjacent rasters into a single digital elevation model. Select an import raster and a target raster, choose a mosaic operator, and save the result.

Learn band arithmetic on multiple raster bands in ArcGIS Desktop with Map Algebra and Raster Calculator, applying division, log, and logical operations to derive vegetation indices and enable reclassification.

Reclassify a raster into categorical values using the ArcGIS Desktop reclassify tool, turning a continuous raster into qualitative classes with labels, counts, and optional descriptive statistics.

Resample a raster in ArcGIS to adjust cell size from 92 by 92 meters to 30 by 30 meters, using nearest or other methods for meters or decimal degrees.

Learn how to compute topographic products from a digital elevation model (DEM), including slope, aspect, and hillshade, using GIS and data sources like SRTM and field-collected elevations.

Explore topographic calculations in ArcGIS Desktop by deriving slope, aspect, hill shade, and contours from a digital elevation model using the Spatial Analyst toolbox.

Clip a raster to a polygon boundary in ArcGIS Desktop using the clip tool or extract by mask, demonstrated with a hill shade raster for a Vietnam protected area.

Learn to compute zonal statistics with a raster and shape file, extract descriptive statistics per polygon, and export results to a tabular file.

Explore how to extract raster values to points in ArcGIS Desktop with the extract multi values to points tool, applying multiple rasters to point locations and updating the shapefile.

Learn how to georeference a raster in arcgis desktop by adding control points, assigning latitude and longitude, and rectifying the image for accurate map alignment.

Conclude section three by mastering roster processing in GIS, including displaying data, merging and reclassifying rosters, and resampling rasters; clip, sample, and georeference raster data across coordinate systems.

Carry out exploratory data analysis on shapefile attributes in ArcGIS Desktop by inspecting the attribute table, computing descriptive statistics for region areas, and adding a field to calculate its log.

Create and customize graphs from shapefile attribute data in ArcGIS Desktop, including vertical bar charts of eco regions' areas. Style charts with color palettes and labels for reports.

Learn to perform spatial joins by attaching tabular data from Excel to a shapefile using a common id, adding literacy values to Vietnam's regions, and aggregate when needed.

Explore how spatial joins in ArcGIS link attributes from points to polygons, enabling province-level averages and regional visualizations by summarizing join features in one-to-one or aggregated forms.

master droplet mapping by shading polygons according to a numerical variable to visualize eco-region variations in Myanmar, using shapefiles, equal interval classification, and themed maps.

Split a shapefile into individual polygons by a unique attribute using ArcGIS' split tool in the analysis toolbox, demonstrated with Vietnam's protected areas.

Learn to clip a larger shapefile with a smaller cookie cutter using the clip tool, preserving the bigger file's attributes while extracting Vietnam's 13 eco regions.

Explore how the intersection tool in the overlay toolbox combines a larger administrative shapefile with a smaller WWF eco regions shapefile to produce output with attributes from both for Vietnam.

Create fixed-distance buffers around polygons and lines in ArcGIS Desktop. Use the buffer tool to generate concentric zones such as 2 km, 3.5 km, and 8 km.

Combine previously split shapefiles of Vietnam's protected areas using merge and append in ArcGIS Desktop's data management toolbox to recreate a single shapefile.

Learn to dissolve shapefile boundaries in ArcGIS, generalize polygons into three eco region categories, and compute basic statistics like mean population per square kilometer.

Conclude section 4 by analyzing vector data with shape files, performing exploratory data analysis on numerical attributes using bar charts and box plots, and applying spatial joins and geoprocessing tasks.

Use the Euclidean distance tool in ArcGIS Desktop to generate a distance raster and distance direction from road features, showing how far pixels are from the closest road.

Explore density mapping in ArcGIS Desktop to reveal the distribution and concentration of point and line features using point density, line density, and kernel density for roads, crime, and housing.

Compute line density for linear features in ArcGIS by projecting polylines to UTM and using the line density tool to produce a density raster in km per square kilometer.

Compute point density in ArcGIS by the point density tool, producing a raster of density in points per square meter and highlighting concentration patterns.

Compute kernel density for point and line features in ArcGIS to create smoothed raster maps showing density and concentration, with UTM projections for clear square-kilometer units.

Explore interpolation of geographic point data to generate a continuous raster surface, using spatial auto correlation, and methods like IDW and triangulation to predict elevation and other variables.

Explore how to interpolate point data into a continuous raster surface using idw and kriging, comparing spherical, natural neighbors, and spline approaches.

Explore spatial clustering theory in ArcGIS Desktop, including Moran's I and G-Star, hot spots, local Moran's I, z-scores, and p-values to map high and low value clusters.

Explore mapping spatial clusters and hotspots in ArcGIS Desktop using the spatial statistics toolbox, mapping cluster scores, hotspot and cold spot analysis, and outlier detection on point and polygon shapefiles.

Geographically weighted regression in ArcGIS is introduced, detailing local regression for spatial autocorrelation, bandwidth selection with ICC, and modeling rainfall using elevation and vegetation as explanatory variables.

Apply geographically weighted regression in ArcGIS to build a robust spatial model, predict precipitation at unknown locations, and assess performance with local R-squared and residuals.

Automate geoprocessing workflows in ArcGIS using Model Builder to derive a hillshade from a digital elevation model, clip to a polygon, and extract values to points.

Conclude section five by reinforcing geo statistics basics and demonstrate density analysis, interpolation, hot spot analysis, and geographically weighted regression with model builder automation.

Learn how to build and present spatial analysis as maps in ArcGIS, using base maps, demographic data, and legends to create clear, end-user friendly visuals.

Preserve map symbology by creating and saving a layer file beside your shapefile, then load it to retain legends and colors before actual mapmaking in ArcGIS.

Access ArcGIS base maps and online spatial data to add context to your map, including deprivation maps of the UK and a topography base map.

Assemble spatial data layers to create a complete map in a layout, adding legends, north arrow, scale bar, and export options to share results.

Learn to create and present maps using GIS, preserve symbology and legends, and switch between data view and layout view while combining spatial data with base maps.

Explore how to set up and use GitHub and GitHub desktop to turn your data, code, and assets into a shareable repository from your local folder.

See how infrastructure development, including roads and hydroelectric dams, drives deforestation and reshapes a Brazilian Amazon river from 1984 to 2014 through a time-lapse.

Master Google Earth Engine for remote sensing and GIS analysis, exploring big data earth observation datasets in the cloud and learning basic spatial data concepts and coding basics.