rgdal

There are 11 repositories under rgdal topic.

  • ttnsy/rgeo-intro

    Coursebook for Algoritma DSS: Geospatial Analysis in R.

    Language:R6303

  • raghavm23/St-Louis-City-Crime-Visualisations

    Created an array of static visualisations, an interactive online visualisation and an infographic using R studio, Tableau, Excel and Venngage

    Language:R1100

  • jlgrego/centroides_br

    Script para coleta dos centroides de todos os municípios brasileiros e também como referência para obter centroides de qualquer outro mapa similar. Translation: Script to collect the centroids of all Brazilian municipalities and also as a reference to obtain centroids of any other similar map.

    Language:R0100

  • AbhiRoy96/gtd_visual

    Data Visualization on Maps

    Language:R10

  • akunna1/GIS-Programming

    GIS Programming with Python Scripts. Functions: Automating Geoprocessing Tasks, Scripting Workflows, Data Management, Map Automation, Spatial Analysis and Batch Processing

    Language:Python10

  • akunna1/Web-Scraping-NC-Senators-Data

    To scrape data of NC Senators from the NC Legislature website, analyze the scraped data, and visualize it using plots to show the distribution of senators across districts and their respective political parties and terms in office.

    Language:R10

  • Bicheng-G/Geospatial-Analytics

    Using geospatial data to analyse Singapore HDB flat price.

    Language:R10

  • kitchensjn/topotable

    The TopoTable Project seeks to build a dynamic 3D topographic relief table that is built with moveable pillars. Rather than being constrained to a single region, the motors within the TopoTable would allow it to shift from one map to the next. I have worked to develop the user interface for downloading and processing elevation data using Python, R, Leaflet and Shiny. This application is hosted through shinyapps.io.

    Language:Python10

  • pierre-manchon/rendu_R

    Language:R00

  • Profbla2020/Road-Accident-in-Nigeria

    The dataset records the total number of road traffic accidents in each state for the given period, categorizing the accidents into fatal, severe, and minor incidents. This comprehensive dataset is valuable for analyzing trends and patterns in road safety across the country, helping to identify regions with higher accident incidences.

  • virtualstaticvoid/heroku-docker-r-rgdal-example

    Example R project with RGDAL on Heroku using heroku-docker-r

    Language:R101