Information about Geospatial
Geospatial is a term widely used to describe the combination of spatial software and analytical methods with terrestrial or geographic datasets. The term is often used in conjunction with geographic information systems and geomatics.
Many Geographic information system (GIS) products apply the term geospatial analysis in a very narrow context. In the case of vector-based GIS this typically means operations such as map overlay (combining two or more maps or map layers according to predefined rules), simple buffering (identifying regions of a map within a specified distance of one or more features, such as towns, roads or rivers) and similar basic operations. This reflects (and is reflected in) the use of the term spatial analysis within the Open Geospatial Consortium (OGC) “simple feature specifications”. For raster-based GIS, widely used in the environmental sciences and remote sensing, this typically means a range of actions applied to the grid cells of one or more maps (or images) often involving filtering and/or algebraic operations (map algebra). These techniques involve processing one or more raster layers according to simple rules resulting in a new map layer, for example replacing each cell value with some combination of its neighbours’ values, or computing the sum or difference of specific attribute values for each grid cell in two matching raster datasets. Descriptive statistics, such as cell counts, means, variances, maxima, minima, cumulative values, frequencies and a number of other measures and distance computations are also often included in this generic term spatial analysis.
However, the above list of functions cover only the most basic of facilities, albeit those that may be the most frequently used by the greatest number of GIS professionals. To this initial set must be added a large variety of statistical techniques (descriptive, exploratory, and explanatory statistics) that have been designed specifically for spatial and spatio-temporal data. Today such techniques are of great importance in the social sciences, medicine and criminology, despite the fact that their origins may often be traced back to problems in the environmental and life sciences, in particular ecology, geology and epidemiology. It is also to be noted that spatial statistics is largely an observational science (like astronomy) rather than an experimental science (like agronomy or pharmaceutical research). This aspect of geospatial science has important implications for analysis, particularly the application of a range of statistical methods to spatial problems.
Limiting the definition of geospatial analysis to 2D mapping operations and spatial statistics remains too restrictive. There are other very important areas to be considered. These include: surface analysis —in particular analysing the properties of physical surfaces, such as gradient, aspect and visibility, and analysing surface-like data “fields”; network analysis — examining the properties of natural and man-made networks in order to understand the behaviour of flows within and around such networks; and locational analysis. GIS-based network analysis may be used to address a wide range of practical problems such as route selection and facility location (core topics in the field of operations research, and problems involving flows such as those found in hydrology and transportation research. In many instances location problems relate to networks and as such are addressed with tools designed for this purpose, but in others existing networks may have little or no relevance or may be impractical to incorporate within the modeling process. Problems that are not specifically network constrained, such as new road or pipeline routing, regional warehouse location, mobile phone mast positioning or the selection of rural community health care sites, may be effectively analysed (at least initially) without reference to existing physical networks. Locational analysis "in the plane" is also applicable where suitable network datasets are not available, or are too large or expensive to be utilised, or where the location algorithm is very complex or involves the examination or simulation of a very large number of alternative configurations.
A further important aspect of geospatial analysis is visualisation — the creation and manipulation of images, maps, diagrams, charts, 3D views and their associated tabular datasets. GIS packages increasingly provide a range of such tools, providing static or rotating views, draping images over 2.5D surface representations, providing animations and fly-throughs, dynamic linking and brushing and spatio-temporal visualisations. This latter class of tools is the least developed, reflecting in part the limited range of suitable compatible datasets and the limited set of analytical methods available, although this picture is changing rapidly. All these facilities augment the core tools utilised in spatial analysis throughout the analytical process (exploration of data, identification of patterns and relationships, construction of models, and communication of results).
Association of American Geographers (AAG), Spatial Analysis Special Interest Group [3]
Association for Geographic Information (AGI) [4]
Centre for Advanced Spatial Analysis (CASA): [5]
Centre for Spatially Integrated Social Science (CSISS): [6]
Centre for Computational Geography: [7]
European Commission Joint Research Centre (CEC/JRC) Geostatistics Unit: [8]
EURO Working Group on Locational Analysis: [9]
Free GIS Organisation – portal and mailing list: [10]
Geoscience Australia: [11]
Geospatial Art by Nikolas Schiller: [12]
Geospatial Information & Technologoy Association [13]
International Association for Mathematical Geology (IAMG) [14]
Market Research Society, Geodemographics Knowledgebase: [15]
NCGIA Core curriculum: [16]
National Geospatial-Intelligence Agency (NGA) [17]
Open Geospatial Consortium (OGC): [18]
Royal Geographical Society/Institute of British Geographers: GIS in Teaching [19]
Spatial Analysis Laboratory, University of Thessaly, Greece: [20]
SPLINT: Spatial Literacy in Teaching [21]
University Consortium for Geographic Information Science (UCGIS): [22]
USGS: [23]
USGS Spatial Data Transfer Standard: [24]
US National Research Council of the National Academies [25]
Many Geographic information system (GIS) products apply the term geospatial analysis in a very narrow context. In the case of vector-based GIS this typically means operations such as map overlay (combining two or more maps or map layers according to predefined rules), simple buffering (identifying regions of a map within a specified distance of one or more features, such as towns, roads or rivers) and similar basic operations. This reflects (and is reflected in) the use of the term spatial analysis within the Open Geospatial Consortium (OGC) “simple feature specifications”. For raster-based GIS, widely used in the environmental sciences and remote sensing, this typically means a range of actions applied to the grid cells of one or more maps (or images) often involving filtering and/or algebraic operations (map algebra). These techniques involve processing one or more raster layers according to simple rules resulting in a new map layer, for example replacing each cell value with some combination of its neighbours’ values, or computing the sum or difference of specific attribute values for each grid cell in two matching raster datasets. Descriptive statistics, such as cell counts, means, variances, maxima, minima, cumulative values, frequencies and a number of other measures and distance computations are also often included in this generic term spatial analysis.
However, the above list of functions cover only the most basic of facilities, albeit those that may be the most frequently used by the greatest number of GIS professionals. To this initial set must be added a large variety of statistical techniques (descriptive, exploratory, and explanatory statistics) that have been designed specifically for spatial and spatio-temporal data. Today such techniques are of great importance in the social sciences, medicine and criminology, despite the fact that their origins may often be traced back to problems in the environmental and life sciences, in particular ecology, geology and epidemiology. It is also to be noted that spatial statistics is largely an observational science (like astronomy) rather than an experimental science (like agronomy or pharmaceutical research). This aspect of geospatial science has important implications for analysis, particularly the application of a range of statistical methods to spatial problems.
Limiting the definition of geospatial analysis to 2D mapping operations and spatial statistics remains too restrictive. There are other very important areas to be considered. These include: surface analysis —in particular analysing the properties of physical surfaces, such as gradient, aspect and visibility, and analysing surface-like data “fields”; network analysis — examining the properties of natural and man-made networks in order to understand the behaviour of flows within and around such networks; and locational analysis. GIS-based network analysis may be used to address a wide range of practical problems such as route selection and facility location (core topics in the field of operations research, and problems involving flows such as those found in hydrology and transportation research. In many instances location problems relate to networks and as such are addressed with tools designed for this purpose, but in others existing networks may have little or no relevance or may be impractical to incorporate within the modeling process. Problems that are not specifically network constrained, such as new road or pipeline routing, regional warehouse location, mobile phone mast positioning or the selection of rural community health care sites, may be effectively analysed (at least initially) without reference to existing physical networks. Locational analysis "in the plane" is also applicable where suitable network datasets are not available, or are too large or expensive to be utilised, or where the location algorithm is very complex or involves the examination or simulation of a very large number of alternative configurations.
A further important aspect of geospatial analysis is visualisation — the creation and manipulation of images, maps, diagrams, charts, 3D views and their associated tabular datasets. GIS packages increasingly provide a range of such tools, providing static or rotating views, draping images over 2.5D surface representations, providing animations and fly-throughs, dynamic linking and brushing and spatio-temporal visualisations. This latter class of tools is the least developed, reflecting in part the limited range of suitable compatible datasets and the limited set of analytical methods available, although this picture is changing rapidly. All these facilities augment the core tools utilised in spatial analysis throughout the analytical process (exploration of data, identification of patterns and relationships, construction of models, and communication of results).
Source
Geospatial Analysis - a free online website and comprehensive guide [1]Useful links
American Society for Photogrammetry & Remote Sensing (ASPRS),the Imaging & Geospatial Information Society: [2]Association of American Geographers (AAG), Spatial Analysis Special Interest Group [3]
Association for Geographic Information (AGI) [4]
Centre for Advanced Spatial Analysis (CASA): [5]
Centre for Spatially Integrated Social Science (CSISS): [6]
Centre for Computational Geography: [7]
European Commission Joint Research Centre (CEC/JRC) Geostatistics Unit: [8]
EURO Working Group on Locational Analysis: [9]
Free GIS Organisation – portal and mailing list: [10]
Geoscience Australia: [11]
Geospatial Art by Nikolas Schiller: [12]
Geospatial Information & Technologoy Association [13]
International Association for Mathematical Geology (IAMG) [14]
Market Research Society, Geodemographics Knowledgebase: [15]
NCGIA Core curriculum: [16]
National Geospatial-Intelligence Agency (NGA) [17]
Open Geospatial Consortium (OGC): [18]
Royal Geographical Society/Institute of British Geographers: GIS in Teaching [19]
Spatial Analysis Laboratory, University of Thessaly, Greece: [20]
SPLINT: Spatial Literacy in Teaching [21]
University Consortium for Geographic Information Science (UCGIS): [22]
USGS: [23]
USGS Spatial Data Transfer Standard: [24]
US National Research Council of the National Academies [25]
The term SPACE (capitalized) can refer to:
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- , a Canadian science-fiction channel
- The Society for Promotion of Alternative Computing and Employment
- DSPACE, a term in computational complexity theory
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analytic refers to the "having the ability to analyze" or "division into elements or principles."
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Chemistry
- Analytical chemistry, the analysis of material samples to learn their chemical composition and structure
- Analytical technique
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Geography - (from the Greek words Geo (γη) or Gaea (γαία), both meaning "Earth", and graphein (γράφειν) meaning "to describe" or "to write"
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geographic information system (GIS) (also known as geographical information system, particularly in the UK, and geomatics in Canada) is a system for capturing, storing, analyzing and managing data and associated attributes which are spatially referenced to the
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Geomatics is the discipline of gathering, storing, processing, and delivering of geographic information, or spatially referenced information.
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Overview
The term "Geomatics" refers to:- geodesy
- surveying
- mapping
- positioning
- geomatics engineering
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geographic information system (GIS) (also known as geographical information system, particularly in the UK, and geomatics in Canada) is a system for capturing, storing, analyzing and managing data and associated attributes which are spatially referenced to the
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OGC stands for:
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- Oculogyric crisis - reaction to certain medicines.
- Office of the General Counsel - a common sub-agency name of the U.S. federal agencies
- Office of Global Communications
- Office of Government Commerce
- Online Gaming Circuit - Halo online league.
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In statistics, spatial analysis or spatial statistics includes any of the formal techniques which study entities using their topological, geometric, or geographic properties.
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Exploratory data analysis (EDA) is about looking at data to form hypotheses worth testing, complementing the tools of conventional statistics for testing hypotheses[1]. It was so named by John Tukey.
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Statistics is a mathematical science pertaining to the collection, analysis, interpretation or explanation, and presentation of data. It is applicable to a wide variety of academic disciplines, from the physical and social sciences to the humanities.
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surface weather analysis is a special type of weather map which provides a view of weather elements over a geographical area at a specified time based on information from ground-based weather stations.
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gradient of a scalar field is a vector field which points in the direction of the greatest rate of increase of the scalar field, and whose magnitude is the greatest rate of change.
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Aspect is a piece of information about a topic, usually on look and appearance.
Aspect can refer to:
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Aspect can refer to:
- Aspect (computer science) is a feature that is linked to many parts of a program, but which is not necessarily the primary function of the program.
- Aspect Co.
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In meteorology, visibility is a measure of the distance at which an object or light can be clearly discerned.
It is important to all forms of traffic: roads, sailing and aviation.
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It is important to all forms of traffic: roads, sailing and aviation.
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Network analysis is the analysis of networks through network theory (or more generally graph theory). The networks may be social, transportation, biological, Internet networks, etc.
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Operations Research or Operational Research (OR) is an interdisciplinary branch of mathematics which uses methods like mathematical modeling, statistics, and algorithms to arrive at optimal or good decisions in complex problems which are concerned with optimizing the maxima
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Hydrology (from Greek: Yδωρ, hudōr, "water"; and λόγος, logos, "knowledge") is the study of the movement, distribution, and quality of water throughout the Earth, and thus addresses both the hydrologic cycle and water resources.
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Visualization can refer to
psychology:
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psychology:
- The process of creating internal mental images (internal visualization and imagination)
- Spatial Visualization Ability
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