SDA4PP = Spatial Data Analysis for Point Pattern
SDA4PP is a Quantum GIS Python Plugins. The plugin performs spatial data analysis on point pattern spatial data. It uses spatial analytical structure of R-cran. The plugin communicates with R-cran through RPy bindings with Python programming languages inside of Quantum GIS.The plugin has following tools:
- Interactive Identify Tool: returns the value of overlapping raster and vector layers at the same time in one window. It gives more information about feature than the standard identify tool in QGIS.
- Quadrat analysis: A method of point pattern analysis in which the study region is sampled using a set of similar shapes (quadrats) and counting the number of events in each. Analysis of the resulting quadrat counts can help determine whether the pattern is evenly spaced or clustered.
- F function: A function in point pattern analysis based on the cumulative frequency of the shortest distance between events in a point pattern and a set of randomly placed locations in the study area.
- G function: A function in point pattern analysis based on the cumulative frequency of the shortest inter- event distances between events in a point pattern.
- K function: A function in point pattern analysis based on all the inter-event distances between events in a point pattern.
- Kernel density estimation: A method of density estimation making use of kernel functions. For each event to be included in the density estimates a kernel function is used to 'spread' its effect across space.