The process of modeling, examining, and interpreting model results. Spatial analysis is the process of extracting or creating new information about a set of geographic features.
See Also: spatial modeling
[spatial analysis] The process of examining the locations, attributes, and relationships of features in spatial data through overlay and other analytical techniques in order to address a question or gain useful knowledge.
From Wikipedia, the free encyclopedia
(Redirected from Spatial data analysis) ...
In statistics, spatial analysis or spatial statistics includes any of the formal techniques which study entities using their topological, geometric, or geographic properties.
This second course usually serves as a pre-requisite for more in depth study of spatial analysis techniques. However "Introduction to Geographical Skills, Techniques, and Applications" is a combination of these two courses. To my knowledge no one in the United States has offered a course like this.
Post Comments About PGCon2009: PostGIS 1.4, PostgreSQL 8.4 Spatial Analysis Queries, Building Geometries, Open Jump
PLR Part 3: PL/R and Geospatial Data Abstraction Library (GDAL) RGDAL more ...
PostGIS Nearest Neighbor: A Generic Solution - Much Faster than Previous Solution more ...
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 modeling.
Bentley Map includes a full collection of spatial analysis and presentation capabilities using 2D and 3D data. These include tools for creating buffers around objects, performing topology overlays, creating thematic maps, 3D collision detection, labeling, and more.
Spatial Analysis helps you understand spatial relationships and patterns. Use it for everything from adding mapping capabilities to your business system to determining how places are related and performing advanced predictive modeling.
Learn more about Spatial Analysis ...
Spatial Analysis Procedures for Establishing Proximity and Connectivity
Spatial analysis: A way of analysing data that explicitly incorporates information about location as well as about attribute. This term may be used almost interchangeably with geographical data analysis.
Spatial Analysis Using Demographic Data and Local Opinion
Spatial Analysis for Habitat Threats
ESRI ModelBuilder ...
Spatial Analysis: Study of geographic features and the relationships between them.
Spatial Data: A geographic dataset which is a collection of data that are individually or collectively attached to geographic locations, such as points, lines, or polygons.
The process of understanding, extracting, or creating information about a set of objects. Spatial analysis includes techniques used to determine the distribution of objects over a network or area, and the relationships between those objects.
Methods used to explore the spatial relationships between features both real and theoretical.
Spatial analysis with GIS
It is difficult to relate wetlands maps to rainfall amounts recorded at different points such as airports, television stations, and high schools.
GIS Spatial Analysis
The primary advantage of GIS modeling is the ability to combine layers of data and investigate interrelationships between them. To provide a simple example, a table containing U.S. Interstate Highways was imported into MapInfo.
Select Spatial Analysis > Surface > Slope from ArcToolbox.
Areas that are green are less steep; areas that are yellow to red are steeper.
Create a percent slope grid ...
Custom Map and Report Production
GIS Application Development
Resource Data, Inc. ...
Spatial Analysis: Spatial analysis is the process of applying analytical techniques to geographically-referenced data sets to extract or generate new geographical information.
Spatial analysis is the process of extracting or creating new information about a set of geographic features to perform routine examination, assessment, evaluation, analysis or modeling of data in a geographic area based on pre-established and computerized criteria and standards.
Spatial Analysis Coordinating Committee
System at Arizona for Digital Information Extraction ...
Spatial Analysis System (TYDAC Technologies)
Bangladesh Space Research and Remote Sensing Organisation ...
Geospatial Analysis I: Vector Operations
Single Layer Analysis
Multiple Layer Analysis
Geospatial Analysis II: Raster Data ...
(1) [spatial analysis] On a raster, an analysis boundary or processing window within which cell values affect calculations and outside which they do not.
Perform spatial analysis using integrated support for SAGA, OTB, MMGIS, fTools and GRASS ...
Topic 5: Spatial analysis (vector model)
Aronoff, Stan, Geographic Information Systems: A Management Perspective. 1993, WDL Publications, Ottawa, Canada. ISBN 0-921804-91-1.
Topic 6: Mapping; Shape editing ...
GIS supports spatial analysis as statistical packages support statistical analysis
Characteristics of application area
1.Process the spatial analysis or Mapping request.
2.Make the necessary map and translate it to a BMP file.
3.Translate the BMP file to JPEG or GIF file.
Spatial Analysis The examination of the spatial pattern of natural and human-made phenomena using numerical analysis and statistics. Spatial Isolation Reproductive isolation of two or more populations of a species by distance or physical barriers.
Spatial Analysis: Analytical techniques associated with the study of locations of geographic phenomena together with their spatial dimensions and their associated attributes.
2. Please discuss "Spatial analysis functions are the power of GIS" ?
3. Please give example to describe GIS overlay function.
4. Describe differences and relationships of spatial data and attribute data.
See model and spatial analysis. annotation 1. Descriptive text used to label coverage features. It is used for display, not for analysis.
2. One of the feature classes in a coverage used to label other features.
More and more phenomena can be measured and might be involved in the spatial analysis. Among others we can mention the precipitation, temperature, soil parameters, ground water characteristics, pollution sources, vegetation data.
The process of finding, showing, and explaining geographic patterns is frequently termed spatial analysis. Stewart Fotheringham defines spatial analysis as manipulating spatial data to extract additional meaning. In a GIS context, spatial analysis asks two questions:a.
Typically, mapping packages are not "true" GIS's, possessing a flat file structure data model with no topology or spatial analysis capabilities; such applications will not be addressed in this standard.
entering a sequence of spatial analysis commands), with an analysis of the issues surrounding the use.
The main difference between GIS software programs and desktop mapping programs is the ability of GIS programs to perform spatial analysis. Examples of GIS software packages include:  Modular GIS Environment by Intergraph Corp.,  Geo/SQL by Generation 5 Tech. Inc.
Step 9: Spatial Analysis I: Querying the Data
Step 10: Spatial Analysis II: Selecting Features and Creating Shapefiles
Step 11: Spatial Analysis III: Finding Data that Meet Spatial Criteria--Select by Theme Tool and the Role of Distance ...
With the ArcGIS Spatial Analyst extension in ArcGIS, you can perform spatial analysis on your data. You can provide answers to simple spatial questions such as How steep is it at this location? and What direction is this location facing?
A GIS consists of software, hardware, and personnel for performing spatial analysis. Many of the things that wildlife managers do with maps, such as calculate areas, measure distances, and calculate amount of edge, now can be automated with GIS technology.
Although it has been recognised for a long time that the GIS environment is an ideal medium for the development of new approaches to spatial analysis there are very few formal statistical methods generally available (Openshaw 1991; Fotheringham and Rogerson 1994), ...
Ullman: Regions are merely working tools to achieve some end related to spatial analysis. Main problem relates to getting the maximum size area which does not average out significant differences.
Many of today's pioneers of GIS were associated the GSD's Laboratory for Computer Graphics and Spatial Analysis (LCGSA) between 1965 and 1989, and many of the fundamental data and software models for GIS were developed here.
ArcGIS - An integrated collection of GIS software products that provides a standards-based platform for spatial analysis, data management, and mapping.
AABSyS helps you in implementing enterprise GIS solutions to maintain up-to-date data, geo-spatial analysis and accurate modeling right from establishing requirement, specifying and designing the application, implementation to operating and maintaining in GIS application development life cycle.
The idea is that data has to be structured in a certain way to carry out certain types of spatial analysis.
The thematic map
By bringing together data from a wide range of different sources, you can visualise trends in the data by creating thematic maps. How does this work?
Viewshed analysis - A method of spatial analysis that aims to determine locations visible from a particular point of observation called the vista point. The end product is a viewshed map depicting all areas that can be seen from one or more vista points.
Land Information Systems (LIS)
Specialized GIS systems most commonly found among municipal agencies geared toward legal, administrative and economic spatial analysis. Also known as Land Records Information System (LRIS).
The focus of such systems is the creation of maps: the map is the database. Most desktop mapping systems have more limited data management, spatial analysis, and customization capabilities. Desktop mapping systems operate on desktop computers such as PCs, Macintoshes, and smaller UNIX workstations.
Attribute labeling is another issue here. GIS and mapping data requires extensive attribute labeling to link graphical items to database, while CAD drawing are mostly shape and geometry oriented and spatial analysis is hardly done.
This extension will convert USGS DRGs to grids and "clip" away the area outside the map (the collar). The resulting grids can be added to a view as an image and will display in the same colors as the original DRG. This extension requires Spatial Analysis.
DRGCLip -- Tutorial and Help ...
Xu, Jianping, 1994, Simulating the spread of wildfires using a geographic information system and remote sensing, Ph. D. Dissertation, Rutgers University, New Brunswick, New Jersey.
Jianping Xu and Richard G. Lathrop, Jr., Center for Remote Sensing and Spatial Analysis, Rutgers University.
Photometry Photosensor Poster Projections Projections and Coordinate Systems Radar Radiometry Reef GIS Reemote Sensing Dictionary Regional Gis News Remote Sensing Remote Sensing Glossary Review Risk Management Satellite Satellite Image Data SatNav SeaDAS Ship Operation Software Spatial Analysis ...
The data structure facilitates spatial analysis and linkage of geographic objects to external data. The geometric form of the DLM is vector. The DLM often contains explicit or implicit topological information.
See also: What is the meaning of Analysis, Information, GIS, Model, Geographic?