Quantifying the scale effect in geospatial big data using semi-variograms

The scale effect on spatial interaction patterns: an empirical study using taxi O-D data of Beijing and Shanghai

(2018) Shiliang Zhang et al.   IEEE Access

Distinguishing extensive and intensive properties for meaningful geocomputation and mapping

(2018) Simon Scheider et al.   INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE

Analysis on spatial-temporal features of taxis' emissions from big data informed travel patterns: a case of Shanghai, China

(2017) Xiao Luo et al.   JOURNAL OF CLEANER PRODUCTION

A measure of spatial stratified heterogeneity

(2016) Jin-Feng Wang et al.   ECOLOGICAL INDICATORS

How polycentric is urban China and why? A case study of 318 cities

(2016) Xingjian Liu et al.   LANDSCAPE AND URBAN PLANNING

Incorporating spatial interaction patterns in classifying and understanding urban land use

(2015) Xi Liu et al.   INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE

A new insight into land use classification based on aggregated mobile phone data

(2014) Tao Pei et al.   INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE

Monitoring and assessing of landscape heterogeneity at different scales

(2013) Angela Lausch et al.   ENVIRONMENTAL MONITORING AND ASSESSMENT

Deriving the optimal scale for relating topographic attributes and cover crop plant biomass

(2012) Juan D. Muñoz et al.   GEOMORPHOLOGY

Urban land uses and traffic ‘source-sink areas’: Evidence from GPS-enabled taxi data in Shanghai

(2012) Yu Liu et al.   LANDSCAPE AND URBAN PLANNING

Geographical Detectors‐Based Health Risk Assessment and its Application in the Neural Tube Defects Study of the Heshun Region, China

(2010) Jin‐Feng Wang et al.   INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE

Multivariate quantification of landscape spatial heterogeneity using variogram models

(2007) S GARRIGUES et al.   REMOTE SENSING OF ENVIRONMENT