### Semi-Variogram: Nugget, Range and Sill

In the case of a semi-variogram, closer things have less variability and are similar. While things farther away are less predictable and are less related.

### GeoDa Software – Data Exploration at its Finest

While not necessarily your prototype GIS package, GeoDa carries exciting analytical & visualization tools in industries like economics, health & real estate

### How to Build Spatial Regression Models in ArcGIS

Spatial regression is used to model spatial relationships. Regression models investigate what variables explain their location.

### Mean Absolute Error MAE in GIS

This guide shows how Mean Absolute Error in GIS is used. We give a step-by-step instructions how to calculate MAE in Excel and a quick formula to use.

### Use Principal Component Analysis to Eliminate Redundant Data

Principal component analysis PCA identifies duplicate data over several datasets & aggregates essential information into groups called principal components.

### Root Mean Square Error RMSE in GIS

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)

### 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.

### 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.

### Raster Cells NoData to Zero in ArcGIS

Changing NoData values to zero in arcGIS can be accomplished by using the “Con Tool”