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(Article of periodic en Anglais - 2012)

Document title

Spatial analysis and districting of the livestock and poultry breeding in China

Authors(s) and Affiliation(s)

FU Q. (1 2 3) ; ZHU Y. (2) ; KONG Y. (1 3) ; SUN J. (1 2) ;
(1) College of Environment and Planning, Henan Univ., Kaifeng, CHINE
(2) State Key Lab. of Resources and Environmental Information Systems, Inst. of Geographic Sciences and Natural Resources Research, CAS, Beijing, CHINE
(3) Key Lab. of Geospatial Technology for the Middle and Lower Yellow Regions (Henan Univ.), Ministry of Education, Kaifeng, CHINE

Abstract

This paper aims to investigate the spatial patterns of livestock and poultry breeding in China. Using statistical yearbook and agricultural survey in 2007, the county-level populations of livestock and poultry are estimated as equivalent standardized pig index (ESP), per cultivated land pig index (PCLP) and per capita pig index (PCP). With the help of spatial data analysis (ESDA) tools in Geoda and ArcGIS software, especially the Moran’s I and LISA statistics, the nationwide global and local clustering trends of the 3 indicators are examined respectively. Furthermore, the thematic map series (TMS) and related gravity centers curve (GCC) are introduced to explore the spatial patterns of livestock and poultry in China. As a result, the China’s livestock and poultry breeding would be classified into 8 types : extremely sparse region, sparse region, relatively sparse region, normally sparse region, normal region, relatively concentrated region, concentrated region and highly concentrated region

Source

Article of periodic

published at : Journal of geographical sciences. Acta geographica sinica / ISSN 1009-637X

Editor : CHINE

Millesime : 2012, vol. 22, no6 [pp. 1079-1100]

Bibliographic references : 67 ref.

Collation : 14 fig., 3 tabl.

Language

Anglais

Digital Object Identifier

Go to electronic document thanks to its DOI : doi:10.1007/s11442-012-0984-4

Tous droits réservés © Prodig - Bibliographie Géographique Internationale (BGI), 2013
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