macheikh Goto Github PK

conflict-preemption

Replication code for "The Curse of Geography: How Governments Preempt Secession Attempts."

datacamp_machine_learning_for_everyone

All the codes for the courses I completed on the machine learning track in datacamp

dreamproject_2

Test Repo...

earth-analytics-python-env

A conda environment and docker container to support using earth and environmental data in Python.

earthengine-api_codes-for-geospatial-science-data-analysis

Google Earth Engine API Codes for Earth science data & analysis

geemap

grass-addons

GRASS GIS Addons Repository (Manuals: https://grass.osgeo.org/grass7/manuals/addons/ | Linux-logs: https://grass.osgeo.org/addons/grass7/logs/ | Windows logs: http://wingrass.fsv.cvut.cz/grass78/x86_64/addons/latest/logs/)

laika

Experiments with satellite image data

macheikh

Config files for my GitHub profile.

nightlights

Analysis of night-time luminosity data for India

nightlightstats

This R package allows calculating user-specified statistics or creating a plot for a region's nightlight data for a given time period. The nightlight data are from the "Earth Observation Group, Payne Institute for Public Policy, NOAA/NCEI" (Image and data processing by NOAA's National Geophysical Data Center. DMSP data collected by US Air Force Weather Agency). You can either work with yearly DMSP data ranging from 1992 to 2013 (https://www.ngdc.noaa.gov/eog/dmsp/downloadV4composites.html) or monthly VIIRS data beginning in Apr 2014 (https://eogdata.mines.edu/download_dnb_composites.html). You can either provide own shapefiles (region, country, etc.) or have them (in the case of countries) automatically downloaded from GADM (https://gadm.org/data.html). At the time of writing, the yearly VIIRS data is not uploaded so the package doesn’t process yearly VIIRS data. Please contact the authors if you notice that this changed.

public_datasets

Repository for public data sets on datainspace.org

python-random-quote

A file-based quote bot written in Python

web-scraping-and-clustering

This repository contains code that was used to scrape the names of peer-reviewed articles from the journal PLOS ONE. A K-Means clustering algorithm was then applied to the data to sort the article names into clusters based on their content.