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我国主要畜牧业肉类产量的时空分析--基于空间自相关和重心轨迹的方法

于军涛 王玉贵

畜牧与饲料科学2016,Vol.37Issue(6):93-96,97,5.
畜牧与饲料科学2016,Vol.37Issue(6):93-96,97,5.

我国主要畜牧业肉类产量的时空分析--基于空间自相关和重心轨迹的方法

A Spatial-temporal Analysis of the Main Livestock Meat Production in China by Using the Method Based on Spatial Autocorrelation and Gravity Center Trajectory

于军涛 1王玉贵2

作者信息

  • 1. 四川师范大学西南土地资源评价与监测教育部重点实验室,四川 成都 610066
  • 2. 四川师范大学地理与资源科学学院,四川 成都 610066
  • 折叠

摘要

Abstract

The distribution of pork, beef and mutton production in China was analyzed by using GeoDa software. The results revealed that all of the pork, beef and mutton production showed a rising tendency, but their changing rate in different period varied;the pork, beef and mutton production expressed cluster state;the cluster significance of pork production was increasing but that of beef and mutton production was reducing;the distribution of pork production mainly clustered in South China but that of beef and mutton production mainly clustered in North China; the gravity center trajectory of pork production was in Hubei Province and moved to southeast direction, the gravity center trajectory of beef production was in Shanxi Province and moved to west direction, the gravity center trajectory of mutton production was in Shaanxi Province and moved to north direction.

关键词

肉类产量/空间自相关/重心轨迹/莫兰指数/聚集

Key words

meat production/spatial autocorrelation/gravity center trajectory/Moran′s index/cluster

分类

管理科学

引用本文复制引用

于军涛,王玉贵..我国主要畜牧业肉类产量的时空分析--基于空间自相关和重心轨迹的方法[J].畜牧与饲料科学,2016,37(6):93-96,97,5.

畜牧与饲料科学

1672-5190

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