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A new and easy way to perform point pattern analysis on your spatial point data

Posted on March 4, 2023March 4, 2023 by ayushraj1024
https://ayushraj.cc/map (a screenshot of a point pattern of schools in Varanasi)

Presenting here a new web GIS (https://ayushraj.cc/map) that you can use to perform advanced point pattern analysis on your spatial point patterns. If you ever wanted to perform an advanced point pattern analysis like Ripley’s K Function, Besag’s L Function or Nearest Neighbor Analysis (Ripley’s G Function) on a spatial point pattern but did not find these functions right away in programs like QGIS (although you can write your own R scripts in QGIS) or you couldn’t afford ArcGIS (just for performing one or two operations) then you are at the right place. I have developed a Web GIS (cloud GIS) which anyone can use free of charge and perform spatial point pattern analysis on their geojson data (in WGS84 projection only currently). You don’t have to credit me anywhere although I will appreciate it if you do. The web app generates a matplotlib graph which you can easily download and paste in your own work.

I am planning to add more spatial analysis functions in this web app using Python and R and I plan to build this up into a full featured spatial data mining application. This is a very difficult task and hence it is going to take much time. But keep visiting the website or my page here for regular updates if you are interested in such an application. Below is a short video tutorial demonstrating how to drag and drop your WGS 84 projected geojson files and perform one of the spatial point pattern analysis operations.

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