How do you read a 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 you identify hotspots?
Maps and Geographic Information Systems Analysts use geographic information systems (GIS) to combine street maps, data about crime and public disorder, and data about other features such as schools, liquor stores, warehouses and bus stops. The resulting multidimensional maps produce a visual display of the hot spots.
What does a hotspot map show?
Also known as hot spot mapping, heat maps show locations of higher densities of geographic entities. The ‘heat’ in the term refers to the concentration of the geographic entity within any given spot, not to be confused with heat mapping that refers to the mapping of actual temperatures on the earth’s surface.
What is hot and cold spot analysis?
Hotspot Analysis uses vectors to identify locations of statistically significant hot spots and cold spots in your data by aggregating points of occurrence into polygons or converging points that are in proximity to one another based on a calculated distance.
What is optimized hotspot analysis?
The Optimized Hot Spot Analysis tool identifies peak distances using Incremental Spatial Autocorrelation. If a peak distance is found, this distance becomes the scale of analysis. If multiple peak distances are found, the first peak distance is selected.
What is emerging hotspot analysis?
The Emerging Hot Spot Analysis tool identifies trends in your data. It finds new, intensifying, diminishing, and sporadic hot and cold spots, for example.
On which Neighbourhood analysis statistic does the Optimised hotspot analysis tool rely?
The Optimized Hot Spot Analysis tool uses the Getis-Ord Gi* (pronounced Gee Eye Star) statistic and, similar to many statistical methods, the results are not reliable when there are less than 30 features.
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 the name of the function used to perform hotspot analysis?
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.