s3pku

cedgan-interpolation

Demo code for the paper -- Spatial interpolation using conditional generative adversarial neural networks

flow-imputation

MesoScaling

Data and code for `Understanding the mesoscopic scaling patterns within cities'

mixed-use

Codes and data for a published work "A framework for mixed-use decomposition based on temporal activity signatures extracted from big geo-data"

multi-scale-anomaly

Codes and data for a published work "Multi-scale detection and interpretation of spatio-temporal anomalies of human activities represented by time-series" (https://doi.org/10.1016/j.compenvurbsys.2021.101627)

Next_areal_location_predict

Quantifying-the-scale-effect-using-semi-variograms

restaurant

Data and code for paper 'Predicting neighborhoods' socioeconomic attributes using restaurant data' (PNAS)

ST-LRP

Codes and Data for an accepted work

TrajectoryMatching

The high-performance spatiotemporal trajectory matching framework

s3pku/TrajectoryMatching

The high-performance spatiotemporal trajectory matching framework

s3pku/flow-imputation

s3pku/MesoScaling

Data and code for `Understanding the mesoscopic scaling patterns within cities'

s3pku/Next_areal_location_predict

s3pku/cedgan-interpolation

Demo code for the paper -- Spatial interpolation using conditional generative adversarial neural networks

s3pku/multi-scale-anomaly

Codes and data for a published work "Multi-scale detection and interpretation of spatio-temporal anomalies of human activities represented by time-series" (https://doi.org/10.1016/j.compenvurbsys.2021.101627)

s3pku/mixed-use

Codes and data for a published work "A framework for mixed-use decomposition based on temporal activity signatures extracted from big geo-data"

s3pku/Quantifying-the-scale-effect-using-semi-variograms

s3pku/restaurant

Data and code for paper 'Predicting neighborhoods' socioeconomic attributes using restaurant data' (PNAS)

s3pku/ST-LRP

Codes and Data for an accepted work

s3pku/UPTDNet_dataset

The Gowalla and Foursquare datasets used in UPTDNet.

s3pku/BaiduCityAttr

Data and code for the paper 'Understanding China’s urban system evolution from web search index data'

s3pku/IIDS-Inferring_Interactions_from_Distribution_Snapshots

A python version of IIDS: Inferring spatial interaction flows from spatial distribution snapshots

s3pku/MixedUrbanFunctions

The code for the research article "Recognizing mixed urban functions from human activities using representation learning methods".

s3pku/PCCA

Data and code for paper 'Quantifying urban areas with multi-source data based on percolation theory'

s3pku/S3-FlowVisual

s3pku/TC-PSO

An algorithm for topology-constraint distance cartogram