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geo_python

Collection of useful examples scripts in python

ggthemeassist

An RStudio addin for ggplot2 theme tweaking

gitignore

A collection of useful .gitignore templates

gw_artic_climate

gwu_artic_integration

gwu_helper_functions

Tools to help admin at GWU Geography

gwu_md_fields

hungabunga

HungaBunga: Brute-Force all sklearn models with all parameters using .fit .predict!

ifpri_ethiopia_drought_2016_public

ifpri_fire_india

Private repository for India crop residue burning

indianightlights

Mann, M. L., Melaas, E. K., & Malik, A. (2016). Using VIIRS day/night band to measure electricity supply reliability: preliminary results from Maharashtra, India. Remote Sensing, 8(9), 711.

indigo_yield_public

Your objective is to leverage the data provided to create predictors and a predictive model that can be used to forecast county-level yields for the 2018 growing season.

inverse_distance_weighting

Interpolation in D-dimensional spaces using inverse distance weighted, k-nearest neighbours

jupyter-book

Create beautiful, publication-quality books and documents from computational content.

mapping-deprived-areas-using-deep-neural-networks

Arathi final projet

mastering-geospatial-analysis-with-python

Mastering Geospatial Analysis with Python, published by Packt

menhood

mmann1123.github.io

online-python-course

Activities for teaching Python online, taken from my IDCE 302 course at Clark University

online-webmap-course

Activities for teaching web mapping online, taken from my IDCE 30262 course at Clark University

overpass-turbo

A web based data mining tool for OpenStreetMap using Overpass API.

pangeo-example-notebooks

Pangeo Example Notebooks

picameraclassifier

This project aims to utilize a rasberry pi 3 to calculate the frequency of truck and buses on the street outside my house. Since we live near a FedEx distribution center I am particularly interested in counting the number fedex delivery trucks on my street.

planet-clip-downloader

A python script for downloading clips of satellite images from Planet Labs

predicting-poverty

Combining satellite imagery and machine learning to predict poverty

predicting-poverty-replication

A Python3 and PyTorch replication of Jean et al. (2016). Original paper Github: https://github.com/nealjean/predicting-poverty

public_crop_image_classifier

This repository walks through the simple process of retraining an inception_v3 model to identify wheat growing areas that are damaged by lodging.

pygis

pyGIS is an online textbook covering all the core geospatial functionality available in Python. This includes handling vector and raster data, satellite remote sensing, machine learning and deep learning applications. -- Under Development --

pyimpute

Spatial classification and regression using Scikit-learn and Rasterio

pyspatialml

Machine learning modelling for spatial data