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地理空间数据的空间性分析应用
The Problem of Spatial Feature in the Geographical Spatial Data Analysis

查看参考文献22篇

付金霞 1   赵军 2  
文摘 “空间性”是地理空间数据有别于其他数据的显著特征,因此地理空间数据研究过程中必须反映和遵从其地理空间特性。本文将集中于两个领域,即统计分析和遥感图像分析领域,来论述地理空间数据分析中必须加强对空间异质性、空间结构和尺度的探讨。
其他语种文摘 "Spatial feature"is the geographical spatial data famous feature different from that of the other data, so in the process of researching geographical spatial data, it must be reflected and conformed to other geographical spatial feature. This paper focused on two fields, namely statistical analysis and remotely sensed imagery analysis, to discuss that in the spatial data analysis the exploration of spatial nonstationarity, spatial structure and scale must be intensified.
来源 地球信息科学 ,2006,8(4):65-69 【扩展库】
关键词 空间数据 ; 空间异质性 ; 空间结构 ; 尺度
地址

1. 西北农林科技大学资环学院, 杨凌, 712100  

2. 西北师范大学GIS开发应用研究中心, 兰州, 730070

语种 中文
文献类型 研究性论文
ISSN 1560-8999
学科 测绘学
文献收藏号 CSCD:2665228

参考文献 共 22 共2页

1.  鲁学军. 地理空间的尺度-结构分析模式探讨. 地理科学进展,2004,23(2):107-114 被引 31    
2.  Pickett S T A. Landscape ecology:spatial heterogeneity in ecological systems. Science,1995,269(21):331-334 被引 100    
3.  赵文武. 尺度推绎研究中的几点基本问题. 地球科学进展,2002,17(6):905-911 被引 48    
4.  Giles M F. GIS:stressing the geographical. Progress in Physical Geography,2004,281:152-158 被引 1    
5.  Heegaard E. The outer border and central border for species-environmental relationships estimated by nonparametric generalized additive models. Ecological Modelling,2002,157(2/3):131-139 被引 1    
6.  Guisan A. Generalised linear and generalised additive models in studies of species distributions:setting the scene. Ecological Modelling,2002,157(2/3):89-100 被引 114    
7.  Austin M P. Spatial prediction of species distribution:an interface between ecological theory and statistical modeling. Ecological Modelling,2002,157(2/3):101-118 被引 55    
8.  Miller J. Modelling the distribution of four vegetation alliances using generalised linear models and classification tress with spatial dependence. Ecological Modelling,2002,157(2/3):227-247 被引 6    
9.  King A. Translating models across scales in the landscape. Quanitative Methods in Landscape Ecology,1991:479-517 被引 1    
10.  Leung Y. Statistical test for spatial nonstationarity based on the geographically weighted regression model. Environment and Planning A,2000,32:9-32 被引 17    
11.  Leung Y. Testing for spatial autocorrelation among the residuals of the geographically weighted regression. Environment and Planning A,2000,32:871-890 被引 6    
12.  Brunsdon C. Spatial variations in the average rainfall altitude relationship in Great Britain:an approach using geographically weighted regression. International Journal of Climatology,2001,21:455-66 被引 8    
13.  Paez A. A general framework for estimation and inference of geographically weighted regression models:1. Environment and Planning A,2002,34:733-754 被引 9    
14.  Paez A. A general framework for estimation and inference of geographically weighted regression models:2. Environment and Planning A,2002,34:883-904 被引 9    
15.  Nakaya T. Local spatial interaction modelling based on the geographically weighted regression approach. Modelling Geographical Aystems:Statistical and Computational Applications,2003:45-69 被引 1    
16.  Atkinson P M. Exploring the relations between riverbank erosion and geomorphological controls using geographically weighted logistic regression. Geographical Analysis,2003,35:58-82 被引 9    
17.  Yefang Huang. Analysing regional industrialisation in Jiangsu province using geographically weighted regression. Geographical Systems,2002,4(2):233-249 被引 3    
18.  Osborne P E. Should data be partitioned spatially before building large-scale distribution models?. Ecological Modelling,2002,157(2/3):249-259 被引 6    
19.  Raptis V S. The effect of scaling on land cover classification from satellite date. Computers and Geosciences,2003,29(6):705-714 被引 4    
20.  李晓兵. 基于多尺度遥感测量的区域土地覆盖格局研究. 植物生态学报,2003,27(5):577-586 被引 14    
引证文献 5

1 杨海军 GIS空间分析技术在地理数据处理中的应用研究 地球信息科学,2007,9(5):70-75
被引 15

2 傅世锋 基于GIS和USLE的东圳库区土壤侵蚀量预测研究 地球信息科学,2008,10(3):390-395
被引 18

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