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This is rather a complex statistical analysis question due to the auto-correlation, both in space and time. You are having a tool-driven point of view to your problem, however without a concrete understanding of space, time and statistical approaches to handle them, you won't get almost anywhere. One way handle this problem is the ARIMA model. Another is ...


Using turf.js with Leaflet, you should be able to create the web map you describe. See this example: http://jsfiddle.net/nathansnider/rzyvudkb/ I used an online converter to create a GeoJSON object from your data. The boss names are retained in the GeoJSON properties, so they can be used to filter the casinos. The method I'm using here also relies on a ...


I have written a step-by-step PDAL tutorial that demonstrates how to do this task in that environment. Please see the PDAL clipping tutorial for more information.


Since this question was tagged with Java, I'd put my weight behind Conveyal's gtfs-editor, a webapp which runs on Java via the Play framework. It's pretty easy to get going if you're familiar with CLI. https://github.com/conveyal/gtfs-editor


GTFS editor - www.mobilibus.com.br Create acount - http://editor.mobilibus.com/create-account.html


You can look in the Other GTFS tools section from the old "googletransitdatafeed" on Google code. PS: After answering, I've seen my answer was also in the comment...


rgeos is the R counterpart to Python's Shapely. Both Shapely and rgeos are based on GEOS (i.e. the PostGIS engine)

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