A framework for spatial regionalization composed of novel clustering‐based algorithms under spatial contiguity constraints-Reference-Cited by-同舟云学术

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A framework for spatial regionalization composed of novel clustering‐based algorithms under spatial contiguity constraints

Published:2022-02-28 Issue:4 Volume:26 Page:1775-1800
ISSN:1361-1682
Container-title:Transactions in GIS
language:en
Short-container-title:Transactions in GIS

Author:

Miranda Leandro¹^ORCID,Viterbo José¹,Bernardini Flávia¹

Affiliation:

1. Institute of Computing Fluminense Federal University – UFF Rio de Janeiro Brazil

Funder

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

Publisher

Wiley

Subject

General Earth and Planetary Sciences

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/tgis.12903

Reference54 articles.

1. Spatially constrained clustering of ecological units to facilitate the design of integrated water monitoring networks in the St. Lawrence Basin

2. Data Mining

3. Molecular regionalization of the developing amphioxus neural tube challenges major partitions of the vertebrate brain

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