The techniques of spatial analysis can be categorized into six groups: (1) generation of spatial data and its preliminary treatment; (2) spatialization of attribute data and scale transformation of spatial data; (3) visualization and exploration of spatial data; (4) geo-statistics; (5) analysis...
aA. most 正在翻译,请等待... [translate] aIn the course of the work a number of statistical spatial data analysis (SDA) techniques have been applied to small area health data. 工作其间一定数量的统计空间数据分析(SDA)技术被申请了于小范围健康数据。 [translate] ...
Although several techniques, such as refined K-function analysis, take the effect of boundaries into account, there is a need to study boundary effects more systematically. An issue that has been receiving increasing attention relates to the suitability of data. If the data, for example, are ...
EXPLORATORY SPATIAL DATA ANALYSIS TECHNIQUES FOR EXAMINING URBAN CRIME. Explores the use of geographic information systems and spatial analysis approaches for examining crime occurrence in Brisbane, Queensland. Emphasis on the ... Murray,Alan,T.,... - 《Classical Quarterly》 被引量: 196发表: 2001年...
spatial analysis (Data West Research Agency definition: seeGIS glossary.) Analytical techniques to determine the spatial distribution of a variable, the relationship between the spatial distribution of variables, and the association of the variables of an area. Spatial analysis is often referred to as...
and disadvantages are comprehensively reviewed. In this article, we summarize the landscapes of available spatial transcriptomics technologies, present the employment of spatial techniques in extensive fields of biomedical research and focus on the status quo of computational strategies of data analysis. ...
A spatial analysis is analysis techniques based on locations and shapes of geographical objects. Its objective is to extract and transmit spatial information. Powerful spatial analysis capability is a main feature of GIS. There are two types of spatial data: vector data and raster data. Therefore,...
Data redundancy: When data elements are organized in a regularly spaced system, there is a data point at the location of every grid cell, regardless of whether the data element is needed or not. Although, several compression techniques are available, the advantages of gridded data are lost ...
Spatial data mining and geographic knowledge discovery—An introduction The articles included in this special issue contribute to spatial data mining research by developing new techniques for point pattern analysis, prediction in ... J Mennis,D Guo - 《Computers Environment & Urban Systems》 被引量:...
Exploring Spatial Data Analysis Techniques Using R: The Case of Observations with No Neighbors It is widely acknowledged that one of the impediments to a broader acceptance of techniques for spatial data analysis is that handling spatial data involves more insight and possibly the use of additional ...