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Distributed GIS: Standards, Applications & Technology

Distributed GIS refers to GI Systems that do not have all of the system components in the same physical location. This could be the processing, the database, the rendering or the user interface. It represents a special case of distributed computing, with examples of distributed systems including Internet GIS, Web GIS, and Mobile GIS. Distribution of…

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Distributed GIS topic overview

The analysis highlights Standards, Applications and Technology as prominent areas in the source structure around Distributed GIS.

Related topics
78
Source areas
5
Connected nodes
83
Extracted relationships
60
Concept neighborhoods
42
Bridge connections
83

What this topic covers Research coverage

Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.

Overview · 29 topics
Types · 19 topics
Applications · 12 topics
Standards · 11 topics
Etymology · 7 topics

Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.

Explore all related topics Closing gaps

Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. Each item opens a new analysis centered on that subject.

Overview

Etymology

Types

Applications

Standards

Advanced semantic analysis

Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.

How Distributed GIS connects Entity context

The extracted context around Distributed GIS shows recurring relationship patterns in the source. For example, Distributed GIS → Bruce Gittings, California, Colorado, Edinburgh, GIS, Gittings, He, In, Internet-based, Masters Programme, National Earthquake Information Center, Scotland, The, University, USA, USGS, World Wide Earthquake Locator, Xerox PARC Map Viewer Another extracted example is Distributed GIS → An, Chicago, GIS, Google, Google Maps, In, JavaScript, Mashups, Second-generation, Third, URL, When. Use these groups to spot repeated connection types before inspecting the individual relationships.

Distributed GIS

Top relations

related to Etymology · 18
Distributed GIS → Bruce Gittings, California, Colorado, Edinburgh, GIS, Gittings, He, In, Internet-based, Masters Programme, National Earthquake Information Center, Scotland, The, University, USA, USGS, World Wide Earthquake Locator, Xerox PARC Map Viewer
related to Mashups · 12
Distributed GIS → An, Chicago, GIS, Google, Google Maps, In, JavaScript, Mashups, Second-generation, Third, URL, When
related to Parallel computing in GIS · 12
Distributed GIS → As, CPU’s, For, Geographic Information Science, GIS, In, Parallel, The, This, To, Today, When
related to Open Geospatial Consortium · 7
Distributed GIS → Geo-Enable, GIS, OGC, One, Open Geospatial Consortium, The, Web-Enable GIS
is a · 1
Distributed GIS → interoperability of the data since it can come in different formats using different projection systems

Important terminology

Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.

Important terminology

gis data web distributed information mobile systems used maps internet applications spatial system services use computing parallel processing using corporate

Distributed GIS relationships Subject–Predicate–Object triples

TTTA extracted 60 structured relationships around Distributed GIS. Examples in this analysis include Distributed GIS → is a → interoperability of the data since it can come in different formats using different projection systems and parallel processing → instance of → Distributed processing allows improvements to the performance of spatial analysis through the use of techniques. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
Distributed GISis ainteroperability of the data since it can come in different formats using different projection systems0.90text
parallel processinginstance ofDistributed processing allows improvements to the performance of spatial analysis through the use of techniques0.80text
OGC for mappinginstance ofEssential to a corporate GIS is the effective management of the corporate database and the establishment of standards0.80text
database technologies.Benefits include that all the users in the organisation have access to sharedinstance ofEssential to a corporate GIS is the effective management of the corporate database and the establishment of standards0.80text
completeinstance ofEssential to a corporate GIS is the effective management of the corporate database and the establishment of standards0.80text
accurateinstance ofEssential to a corporate GIS is the effective management of the corporate database and the establishment of standards0.80text
high qualityinstance ofEssential to a corporate GIS is the effective management of the corporate database and the establishment of standards0.80text
up-to-date datainstance ofEssential to a corporate GIS is the effective management of the corporate database and the establishment of standards0.80text
the mobile webinstance ofusing technology0.80text
cell phonesinstance ofThese limitations are more applicable to smaller devices0.80text
PDAsinstance ofThese limitations are more applicable to smaller devices0.80text
Distributed GISrelated to EtymologyThe0.60section

Related concept clusters Concept neighborhoods

The concept neighborhoods around Distributed GIS bring nearby vocabulary together. In this analysis, examples include Gis, Geospatial and Computing. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • Distributed GIS
    • Gis
    • Geospatial
    • Computing
    • Parallel
    • Spatial
    • Services
    • Systems
    • Mashups
    • Geographic
    • Use
    • Internet
    • Corporate
  • distributed gis
    • Data
    • Gis
    • Geospatial
    • Information
    • Systems
    • Computing
    • Parallel
    • Internet
    • Spatial
    • Services
    • Web
    • Mashups
  • gis
    • Data
    • Information
    • Systems
    • Internet
    • Spatial
    • Web
    • Applications
    • Enterprise
    • Geographic
    • Mobile
    • Use
    • Corporate
  • distributed computing
    • Parallel
    • Gis
    • Geospatial
    • Computing
    • Distributed
    • Services
    • Systems
    • Mashups
    • Computer
    • Internet
    • Web
    • Applications
  • internet gis
    • Data
    • Information
    • Access
    • Computer
    • Systems
    • Geographic
    • Internet
    • Spatial
    • Web
    • Applications
    • Enterprise
    • Mobile
  • web gis
    • Data
    • Information
    • Systems
    • Services
    • Internet
    • Spatial
    • Gis
    • Web
    • Mapping
    • Applications
    • Mobile
    • Enterprise
  • mobile gis
    • Data
    • Information
    • Systems
    • Internet
    • Gsm
    • Spatial
    • Web
    • Applications
    • System
    • Enterprise
    • Geographic
    • Mobile
  • volunteered geographical information
    • Geographic
    • Spatial
    • Systems
    • Internet
    • System
    • Enterprise
    • Organisation
    • Access
    • Provide
    • Map
    • Processing
    • Web

Connections between topic areas Semantic bridges

For Distributed GIS, one of the stronger structural bridges in this analysis connects Distributed GIS with Overview. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.

Min side: 3
Distributed GIS — Overview · splits 54 ⟂ 30
Distributed GIS — Types · splits 64 ⟂ 20
Distributed GIS — Applications · splits 71 ⟂ 13
Distributed GIS — Standards · splits 72 ⟂ 12
Distributed GIS — Etymology · splits 76 ⟂ 8

Map overview Semantic statistics

Distributed GIS

Nodes84
Edges83
Triples60
Avg. degree1.98
Density0.02381
Components1

Source & methodology

TTTA analyzes the structure around Distributed GIS to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Standards, Applications & Technology, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.

Source: Wikipedia — Distributed GIS · EN edition · Analysis: TopicsToTalkAbout

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