What is Getis-Ord G?
The High/Low Clustering (Getis-Ord General G) tool measures the concentration of high or low values for a given study area.
What is GI statistics?
The Hot Spot Analysis tool calculates the Getis-Ord Gi* statistic (pronounced G-i-star) for each feature in a dataset. The resultant z-scores and p-values tell you where features with either high or low values cluster spatially. This tool works by looking at each feature within the context of neighboring features.
What does a hotspot analysis show?
Hotspot analysis is a spatial analysis and mapping technique interested in the identification of clustering of spatial phenomena. These spatial phenomena are depicted as points in a map and refer to locations of events or objects.
What is a cold spot in GIS?
A hot spot is a cluster of high values and a cold spot is a cluster of low values.
What is spatial autocorrelation?
Spatial autocorrelation is the term used to describe the presence of systematic spatial variation in a variable and positive spatial autocorrelation, which is most often encountered in practical situations, is the tendency for areas or sites that are close together to have similar values.
How do you read hotspot analysis?
What is Hotspot Analysis? indicates a significant hot spot. A low negative Z score and small P value indicates a significant cold spot. The higher (or lower) the Z score, the more intense the clustering.
How do I use hotspot analysis in Arcgis?
From the Toolbox navigate to Spatial Statistics Tools > Mapping Clusters and open the Optimized Hotspot Analysis tool. This tool allows for quick hotspot analysis using minimal input parameters and sets/calculates default parameters for those you have no control over.
What is kernel density Arcgis?
Kernel Density calculates the density of point features around each output raster cell. Conceptually, a smoothly curved surface is fitted over each point.