Engineering Final Project: Construction of Indoor Maps given a crowd-source trajectory collection
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Updated
Jun 26, 2017 - HTML
Engineering Final Project: Construction of Indoor Maps given a crowd-source trajectory collection
Example demonstrating current slowdowns in Geopandas
The goal of this project is to calculate population weighted mean of geospatial coordinates of each Indian state and compare data from different decennial censuses.
🌐 A lightweight 3D visualization of the earth in 150 lines of Qt/OpenGL
SnapLoc is a product that does automatic image classification and spatio-temporal analysis in order to recommend the places of interest in a new city. The packages that I have used for creating the product are Python(Pandas, NumPy, Shapely, Keras, Leaflet) and TensorFlow
Algorithms to analyze user accumulation, to perform user segmentation and to visualize patterns of visits, by means of geolocation data
The server tells us which state, if any, a point (or location) is in The United States.
Shapely integration for MongoEngine
Notebooks and libraries for spatial/geo Python explorations
ASCII map of the world using Python
A tool for analyzing gerrymandering via geometric techniques
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