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A python package for estimating conditional logit models.
Biogeme is an open source freeware designed for the maximum likelihood estimation of parametric models in general, with a special emphasis on discrete choice models.
A tool for GTFS transit and OSM pedestrian network accessibility analysis by UrbanSim
Introductory tutorial to Biogeme
Code and data to train computer vision enriched discrete choice models in PyTorch
Machine learning for transportation data imputation and prediction.
Discrete choice modeling in Python with large datasets & models - Assortment & Pricing Optimization .
(Minimalism Style) Powered by Jekyll, based on the Minimal Mistakes theme and Jason Ansel's website
Google Maps integration into Qualtrics.
tactile maps of street intersections for people with visual impairments
javascript file to use multiple custom label markers on a qualtrics question and get the position and label
Embed a customizable Google Map in your Qualtrics survey to collect location data
Contains the tutorials for Arc I created for earlier iterations of my class Spatial Techniques in Empirical Economics
Precinct shapes (and vote results) for US elections past, present, and future
An AI-generated map detector to distinguish AI-generated maps and human-designed maps.
Processing and gridding spatial data, machine-learning style
Python package to work with Discrete Choice Models.
这个仓库保管从（数据科学学习手札69）开始的所有代码、数据等相关附件内容
Gallery of OSMnx tutorials, usage examples, and feature demonstations.
Measuring sidewalk widths for Amsterdam using Urban Point Clouds and cadastral data.
Sampo Vesanen's Master's thesis for the University of Helsinki, Department of Geosciences and Geography.
A set of guidelines for developers, cartographers, GIS specialists, geographers, and civic hackers to consider when creating projects that include web maps
Accessibility Toolbox for R and ArcGIS