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- W4366549313 abstract "This protocol describes how to perform a Geographic Information Systems (GIS)-based spatial analysis of cerebellar images. It can be used for any biological images to study cellular or molecular spatial distributions, or, more generally, the distribution of any biological feature of interest. The procedures described here can be employed singularly or in combination to analyze clustering/dispersion by GIS spatially. It is based on the use of ESRI ArcMap to calculate the Average Nearest Neighbor, the High/Low Clustering (G tool), the Multi-distance Spatial Cluster Analysis (Ripley’s K Function), and the Spatial Autocorrelation (Global Moran’s I). It is also shown how to represent the features' distribution graphically." @default.
- W4366549313 created "2023-04-22" @default.
- W4366549313 creator A5048862503 @default.
- W4366549313 date "2023-04-20" @default.
- W4366549313 modified "2023-09-27" @default.
- W4366549313 title "Geographic Information Systems (GIS)-based spatial analysis of cell distribution v1" @default.
- W4366549313 doi "https://doi.org/10.17504/protocols.io.ewov1o697lr2/v1" @default.
- W4366549313 hasPublicationYear "2023" @default.
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