Context geo-tiles in Python

Visualize flight tracks on map with Python framework (geo/moving/pandas, contextily...)

Shortest path calculation and route plotting, in interactive Folium map, based on NetworkX's Dijkstra's pathfinding algorithm.

A conda-smithy repository for contextily.

Usando geopandas, contextily, pandas, union de geodataframes

No description available

Create shape and raster tile maps from the US Census Bureau using GeoPandas and Contextily libraries.

Repo for plotting big GeoToiffs using RasterIO for file reading and GeoPandas and Contextily for maps and backgrounds

Used Python web mapping libraries along with other data science libraries to compute and visualize spatial data in the web form in a cloud environment.

Testing contextily Windows CI

Map scooter use with contextily

Ejemplo de uso de librerías 'folium', 'leafmap' y 'contextily'.

Geospatial Calculations and Maps with Geopandas , Folium , Contextily, Cartopy and geoplot

Smart context editor for AI-powered software development.

A Python-based Geospatial Population Visualizer employs GeoPandas, Contextily, and Matplotlib to precisely overlay demographic data on maps.

Replay flight tracks on a map and save animation as a mp4 movie with Python framework (geo/moving/pandas, contextily...)

Marine microplastics analysis using NOAA NCEI dataset. This project processes microplastic sample data over time and visualizes concentration density using Geopandas, Kernel Density Estimation (KDE), and Contextily for basemap integration in Python.

This is an practicing project learing from Educative.

GIS exploration using EPA water data

A GIS project analyzing hotels and parks in Naples using Python libraries GeoPandas, Plotly Express, and Matplotlib with Contextily basemaps. Includes spatial buffers, intersection analysis, and interactive visualizations, showcasing geospatial data processing and mapping workflows.

Python scripts for analyzing temperature records near Ann Arbor, Michigan (2005-2015). Identifies 2015 record highs/lows vs. previous decade. Uses pandas, matplotlib, geopandas, contextily for data analysis, visualizations, and mapping stations. Handles leap days, chart aesthetics, and station mapping.

Class project aims to map where woody areas and higher education overlaps using open-sourced data obtained directly from the US Census Bureau and DC Open Data APIs using the following python modules: Pandas, Geopandas, Shapely, Us Census, Numpy, Matplotlib, and Contextily.

The resulting map visualizes lithology categories, fault‑slip localities and classifies them by lithology to reveal spatial patterns in rock types.

contexti.sh is a simple script designed to count in-texts references (Author, YYYY), then provide percentages by decade, half-century, and century in academic documents using APA citations.

Geospatial Data project that shows the reachable walking zones from the center of Marienplatz in Munich

simple script to create travel maps from bunch of .kmz files