Maps using Python and R

Urban mobility using Call Detail Record (CDR data) using R

In this study we have used passive call detail record (CDR) to compare two individuals. The original code is by Anto Aasa. It is evident from the study that user call activities can be used to study user behaviour for days, months, and years. It can also throw light on travel history.

Map made using R, library used tmap, spData, ggplot2, gifski.

Maps made using python in Jupyter Notebook

Raster data analysis and calculating zonal statistics in Python

I have used library such as rasterio libray along with other library to work with raster data

To Create a map of a phenomenon from raster data and classify with zonal statistic.

Maps using Python and R

Urban mobility using Call Detail Record (CDR data) using R

Raster data analysis and calculating zonal statistics in Python

To Create a map of a phenomenon from raster data and classify with zonal statistic.

Processing gridded crime data for Estonia