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Rajeswari Rama Kamala Parasa's Projects

flood-mapping-with-sar icon flood-mapping-with-sar

Exploratory data analysis, flood prediction model implementation with the DFC 2024 Challenge Track 1 dataset

layers_draft_delhi_master_plan_2041 icon layers_draft_delhi_master_plan_2041

Delhi Development Authority recently released draft land use plan 2041 for Delhi and called for public comments. This repo has some of the geospatial layers that I was able to extract from the PDF map of the draft plan.

location-allocation-phcs icon location-allocation-phcs

A location allocation model I tried based on euclidean or radial distance. Concept used: Voronoi Tessellation

ml-processing-pipeline-for-predicting-houseprices icon ml-processing-pipeline-for-predicting-houseprices

This repository contains an ML workflow to predict house prices in Ames, Iowa. This project work is carried out under the Machine Learning module of the GeoDSc track of the Copernicus Master in Digital Earth.

nfhs-5 icon nfhs-5

NFHS-5: National Family Health Survey (2019-20). CSV fact sheets (states, districts) for key indicators from http://rchiips.org/nfhs/

punemaps icon punemaps

Test site for visualising Pune POIs data

pyspatialopt icon pyspatialopt

A library to create, solve, and analyze spatial optimization problems

python3_jupyter_notebook icon python3_jupyter_notebook

This Jupyter Notebook has been developed based on "A Beginner's Python Tutorial" by Steven Thurlow. The original material has been ported to Python 3.

railway-routes-extraction-from-osm icon railway-routes-extraction-from-osm

A prototype script to test if OSMnx library can be used to extract spatial railway routes, based on railway schedule data, from OpenStreetMaps' roads data by taking CSV files comprising the station locations along the route as input.

spatial-routing-libraries-and-services icon spatial-routing-libraries-and-services

Using OSMnx, OSRM, and Google Maps Directions API with Python to calculate shortest, fastest, and traffic-based most-efficient routes for a set of origin and destination points

timeseries-classification-lstm icon timeseries-classification-lstm

This notebook demonstrates timeseries classification for crop identification on a subset of the MiniTimeMatch dataset by training an LSTM model.

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