July 2014 - GIS Geography

Time Series Animation in ArcGIS

Configure your time series animation in ArcGIS with this quick tutorial. Visualize geographic events (snow melt, forest fire, disease) as a function of time

Nearest Neighbor Classification Technique in Object-Based Image Analysis

Nearest Neighbor Classification Guide in ECognition

Nearest neighbor classification is a powerful approach to classify segmented objects based on specific statistics and training samples chosen by the user.

Natural Earth Data – Free GIS Public Domain Data

Natural Earth data is a free raster and vector (cultural and physical) data package containing the most common elements that you need to create a map.

Principal Component Analysis: How to Eliminate Redundant Data

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

Multispectral vs Hyperspectral Imagery Explained

Multispectral vs Hyperspectral imagery. Hyperspectral contains hundreds of narrow bands. Multispectral usually consists of only 3 to 10 wider bands.

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.

ArcGIS Shapefile Files Types & Extensions

ArcGIS shapefile files are composed of mandatory files (SHP, SHX and DBF) and optional files (PRJ, XML, SBN and SBX). This article lists their functions.

USGS Earth Explorer: Download Free Landsat Imagery

The USGS Earth Explorer is quick and easy to download free Landsat imagery & other remote sensing data. Enter ROI, define timeline and download for free.

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.