Developing a bivariate spatial association measure: An integration of Pearson's r and Moran's I

Sang-Il Lee

doi:10.1007/s101090100064

journal article Dec 01, 2001

Developing a bivariate spatial association measure: An integration of Pearson's r and Moran's I

Sang-Il Lee

Journal of Geographical Systems Vol. 3 No. 4 pp. 369-385 · Springer Science and Business Media LLC

View at Publisher Save 10.1007/s101090100064

Topics

No keywords indexed for this article. Browse by subject →

Cited By

290

The coordination between citywide rail transit accessibility and land-use characteristics in Shenzhen, China: An explorative analysis based on multidimensional spatial data

Wen Cong, Junhong Zhou · 2024

Sustainable Cities and Society

The Influence Mechanism of Urban Spatial Structure on Urban Vitality Based on Geographic Big Data: A Case Study in Downtown Shanghai

Danxuan Liu, Yishao Shi · 2022

Buildings

Towards scalable estimation of plant functional diversity from Sentinel-2: In-situ validation in a heterogeneous (semi-)natural landscape

Leon T. Hauser, Jean-Baptiste Féret · 2021

Remote Sensing of Environment

Niche packing and expansion account for species richness–productivity relationships in global bird assemblages

Vincent Pellissier, Jean‐Yves Barnagaud · 2018

Global Ecology and Biogeography

Metrics

290

Citations

0

References

Details

Published: Dec 01, 2001
Vol/Issue: 3(4)
Pages: 369-385
License: View

Authors

S

Sang-Il Lee

Cite This Article

Sang-Il Lee (2001). Developing a bivariate spatial association measure: An integration of Pearson's r and Moran's I. Journal of Geographical Systems, 3(4), 369-385. https://doi.org/10.1007/s101090100064

Developing a bivariate spatial association measure: An integration of Pearson's r and Moran's I

You May Also Like