gedcom-to-visualmap
geo-heatmap
| gedcom-to-visualmap | geo-heatmap | |
|---|---|---|
| 1 | 4 | |
| 13 | 2,017 | |
| - | - | |
| 4.4 | 0.0 | |
| about 1 month ago | over 1 year ago | |
| Python | Python | |
| MIT License | MIT License |
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gedcom-to-visualmap
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Is there a tool/program that you can upload a GEDCOM file too that will then extrapolate ALL the addresses and/or locations of ancestors, and plot them on a world map?
2 suggestions. 1) You can try FTAnalyzer from the Microsoft App Store. Lots of features, I found it after I started my project below. 2) I have been building a python tool for this exact purpose. It still needs work, but I have been working on solving that exact problem. It does a look up of different life event addresses in your GEDCOM and send them to OpenStreet to look for a match. You can edit and fix the address and re-run it. I have added 'Ant Paths' so you can tell me when someone is 'accidently' travelling' in the wrong direction (someone jumps back to the UK from New York and then back again). It is getting better, but still a WIP. If you are not a techie, then it is not for you yet. https://github.com/D-Jeffrey/gedcom-to-visualmap
geo-heatmap
What are some alternatives?
mapa-streamlit - Streamlit web app 🎈 for creating 3D-printable models of the earth 🌍 surface based on mapa
python-wifi-survey-heatmap - A Python application for Linux machines to perform WiFi site surveys and present the results as a heatmap overlayed on a floorplan
leafmap - A Python package for interactive mapping and geospatial analysis with minimal coding in a Jupyter environment
BlenderGIS - Blender addons to make the bridge between Blender and geographic data
geemap - A Python package for interactive geospatial analysis and visualization with Google Earth Engine.
location-history-visualizer - Visualize your Google Location History using an interactive heatmap
Genetic-Trait-Detector - This python script detects known traits in raw human genetic data.
plotly-calplot - The easiest and best looking Calendar Heatmap you'll find, made with Plotly.