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2sfca

两步移动搜索法

a-2017

Public Repository for cs109a, 2017 edition

abmgis

Accompanying resources for the book 'Agent-Based Modelling and Geographical Information Systems: A Practical Primer'.

agile-2023-spatialopt

Resources for 2023 AGILE workshop on spatial optimisation

bayarea_urbansim

Bay Area Version of the UrbanSim Model

benchmarking-gnns

Repository for benchmarking graph neural networks

code-of-rl-beginning

crat-pred

data-on-teresina-

deep-pde

dig-viz

drone_station_pmp

The code for the p-median problem of the stations of drone patrols. Drone patrols are used to respond to crime incidents in an area, in which the crime risk of each street segments is estimated using historical crime records and network kernel density estimation methods.

evacuationmodel

This repo contains an Agent-based Evacuation Model developed in NetLogo. This model is tailored to near-filed tsunami evacuation (for city of Seaside, OR) but can be adapted to any other city and any other type of disaster with minimal changes.

gnnpapers

Must-read papers on graph neural networks (GNN)

gravity-model-network-analysis

Accessibility and network analysis using gravity-spatial interaction model in Python

gta-rl

Attention based model for learning to solve different routing problems

isochronewithosmnx

location-mode-prediction

[SIGSPATIAL '22] Next location prediction considering travel mode

machine-learning-specialization-coursera

Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG

mbtaviz.github.io

Visualizing MBTA Data

meituan-informs-tsl-research-challenge

metrognn

mgwr

Multiscale Geographically Weighted Regression (MGWR)

mobility_emissions

Collection of methods that compute emissions starting from mobility trajectories.

networkx

Network Analysis in Python

open-gat

Open source software for geographic transport data analysis and planning

opentripplanner_analysis

various scripts using OpenTripPlanner for transportation network analysis

opt-greedy

Code and Dataset for 'Evolutionary Greedy Algorithm for Optimal Sensor Placement Problem in Urban Sewage Surveillance'

opt-spo

Code and Dataset for "Cost-effective Sensor Placement for Large-scale Urban Sewage Surveillance"

osmnx-examples

Usage examples, demos, and tutorials for OSMnx.