Local Indicators of Spatial Association (LISA)
{"Image DocumentName": "Local Indicators of Spatial Association (LISA)", "Image ImageDescription": "All measures discussed so far are global. they apply to the entire study region. However, autocorrelation may exist in some parts of the region but not in others, or is even positive in some areas and negative in others. It is possible to calculate a local version of Moran\u2019s I, Geary\u2019s C, and the General G statistic for each areal unit in the data. For each polygon, the index is calculated based on neighboring polygons with which it shares a border. Since a measure is available for each polygon, these can be mapped to indicate how spatial autocorrelation varies over the study region. Since each index has an associated test statistic, we can also map which of the polygons has a statistically significant relationship with its neighbors. Moran\u2019s I is most commonly used for this purpose, and the localized version is often referred to as Anselin\u2019s LISA. LISA is a direct extension of the Moran Scatter plot which is often viewed in conjunction with LISA maps. Actually, the idea of Local Indicators of Spatial Association is essentially the same as calculating neighborhood filters\u2019 in raster analysis and digital image processing.", "Image XResolution": "37", "Image YResolution": "37", "Image ResolutionUnit": "Pixels/Centimeter", "Image Software": "SlidePlayer", "Image YCbCrPositioning": "Centered"}