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Xi'an and Chengdu Traffic Flow Prediction Datasets
The Xi'an and Chengdu datasets are created by partitioning the city into irregular areas using POI information. The datasets are used for urban traffic flow prediction. -
Walkability Optimization: Formulations, Algorithms, and a Case Study of Toronto
The dataset used in this paper is a collection of 31 Neighbourhood Improvement Areas (NIAs) in Toronto, Canada. Each NIA has a set of residential locations, candidate allocation... -
OPEN DATA 2018: 3D-Dachmodell (LOD2)
The dataset is a 2.5D city model provided by (OPEN DATA 2018) which contains buildings with detailed roof structures and a terrain model. -
3D-Dachmodell (LOD2)
The dataset is a 2.5D city model provided by (OPEN DATA 2018) which contains buildings with detailed roof structures and a terrain model. -
Uber Dataset
The dataset used in this paper is a real-world dataset from Uber, containing 4.5 million Uber pickups in New York City from April to September 2014, and 14.3 million Uber... -
OS Meridian line 2 dataset
Geographic data for London. -
Using Street View and Satellite Images to Estimate House Prices
Street image and satellite image data can capture urban qualities and improve house price estimation. -
Google Map API and OpenStreetMap
Satellite images and graph data for 25 cities.