Principal Component Analysis (PCA) in GIS
Principal component analysis PCA identifies duplicate data over several datasets & aggregates essential information into groups called principal components.
GIS Analysis
How to Calculate Root Mean Square Error (RMSE) in Excel
Root Mean Square Error (RMSE) in GIS can be used to calculate how much error there is between predicted and observed values. (ex. error in a DEM)
Adding Excel Lat Long Coordinates into ArcGIS
Follow these quick 5 steps and turn Excel lat long coordinates into spatial data in ArcMap. Set to WGS 1984. Add table. Display XY Data. Export shapefile.
Spatial Autocorrelation and Moran’s I in GIS
Spatial autocorrelation helps us understand the degree to which one object is similar to other nearby objects. Moran’s I is used to measure autocorrelation.
ArcGIS Projections: “Define Projection” and “Project”
For ArcGIS projections, “define projection” changes the metadata of the current projection. The “project” tool changes the projected coordinate system.
Python Minimum or Maximum Values in ArcGIS
Python minimum and maximum values in ArcGIS can be obtained from multiple fields. This is done with min and max commands using Python and Field Calculator.
How to Convert NoData to Zero for Rasters in ArcGIS
Changing NoData values to zero in arcGIS can be accomplished by using the “Con Tool”
ArcMap Tips and Tricks: The 7 Golden Rules
This list is a collaborative effort of the most valuable Esri ArcMap tips and tricks. Follow these golden rules and you will save time and improve workflow.