← Search

Data · dataset · 2025

Temporal Evolution of Urban Physical Disorder in China

Listed in Teesside University Research Data Repository

These zip files contain data from the paper " Measuring Temporal Evolution of National-Wide Urban Physical Disorder: An Approach Combining Time-Series Street View Imagery with Deep Learning".

Description

The data comes from a large-scale analysis of urban physical disorder in 698 natural cities in China using street view imagery and deep learning models. This folder contains the results of the multi-scale urban physical disorder measurement.

Three shapefiles "point_result.shp", "subdistrict_result.shp" and "city_result.shp" record unique IDs and urban physical disorder levels for 2,643,959 sampling points, 11,422 subdistricts, and 698 natural cities for two time periods, period1(UPD_P1) and period2(UPD_P2), respectively.

Links

Where it is published

Catalogue records · 1

Topics

Provenance · 1 source records, 6 field assertions
SourceKeyLast seenRaw
Teesside University Research Data Repositoryoai:data.mendeley.com/b6b4sdxy95.17 h agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0
concepts[field].local:field:earth-environmentalmapping · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0
descriptionsource · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0/metadata/dc/description
licensesource · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0/metadata/dc/rights
publication_datesource · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0
titlesource · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0/metadata/dc/title