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Vector Map: History, Art & Products

The Vector Map (VMAP), also called Vector Smart Map, is a vector-based collection of geographic information system (GIS) data about Earth at various levels of detail. Level 0 (low resolution) coverage is global and entirely in the public domain. Level 1 (global coverage at medium resolution) is only partly in the public domain.

Language: English [EN]
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Vector Map topic overview

The analysis highlights History, Art and Products as prominent areas in the source structure around Vector Map.

Related topics
54
Source areas
7
Connected nodes
61
Extracted relationships
8
Concept neighborhoods
22
Bridge connections
61

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 · 21 topics
Description · 12 topics
Debate about availability of data · 9 topics
Tools to read and convert VMAP data · 7 topics
History · 2 topics
Levels of resolution · 2 topics
Copyrights · 1 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

Description

Levels of resolution

Debate about availability of data

Copyrights

Tools to read and convert VMAP data

History

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 Vector Map connects Entity context

The extracted context around Vector Map shows recurring relationship patterns in the source. For example, Vector Map → ESRI, IdevioSVG Maps, National Geospatial Intelligence Agencyfree, VMAPVMAP0 Another extracted example is Vector Map → The. Use these groups to spot repeated connection types before inspecting the individual relationships.

Vector Map

Top relations

related to External links · 4
Vector Map → ESRI, IdevioSVG Maps, National Geospatial Intelligence Agencyfree, VMAPVMAP0
related to Levels of resolution · 1
Vector Map → The

Important terminology

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

Important terminology

data level public domain vmap resolution coverage nima states mapping gis product united national agency information vector available global vmap0

Vector Map relationships Subject–Predicate–Object triples

TTTA extracted 8 structured relationships around Vector Map. Examples in this analysis include SHAPE → instance of → this free software tool can convert VMAP format to standard GIS file formats and the Defense Mapping Agency → instance of → is renamed to National Geospatial-Intelligence Agency which will include other mapping agencies. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
SHAPEinstance ofthis free software tool can convert VMAP format to standard GIS file formats0.80text
PostGIS etcinstance ofthis free software tool can convert VMAP format to standard GIS file formats0.80text
the Defense Mapping Agencyinstance ofis renamed to National Geospatial-Intelligence Agency which will include other mapping agencies0.80text
Vector Maprelated to External linksNational Geospatial Intelligence Agencyfree0.60section
Vector Maprelated to External linksIdevioSVG Maps0.60section
Vector Maprelated to External linksVMAPVMAP00.60section
Vector Maprelated to External linksESRI0.60section
Vector Maprelated to Levels of resolutionThe0.60section

Related concept clusters Concept neighborhoods

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

  • world geodetic system
    • Levels
    • Agency
    • National
    • Earth
    • Horizontal
    • Layers
    • Reference
    • Using
    • Vmap1
    • Vmap
    • Gis
    • Global
  • vector product format
    • Earth
    • Using
    • Following
    • Gis
    • Product
    • Vector
    • Nima
    • Also
    • Levels
    • Data
    • Global
    • Imagery
  • debate about availability of data
    • Vmap
    • Domain
    • Public
    • Resolution
    • Level
    • Gis
    • Vector
    • Vmap0
    • States
    • Equivalent
    • Map
    • Scale
  • tools to read and convert vmap data
    • Vmap
    • Domain
    • Public
    • Resolution
    • Level
    • Gis
    • Vector
    • Vmap0
    • Nga
    • Vmap1
    • States
    • Tiles
  • Vector Map
    • Vector
    • Earth
    • Gis
    • Product
    • Also
    • Levels
    • Data
    • Global
    • Medium
    • System
    • Vmap
    • Vmap1
  • vector map
    • Vector
    • Earth
    • Gis
    • Product
    • Also
    • Levels
    • Global
    • Medium
    • System
    • Vmap1
    • Data
    • Vmap
  • geographic information system
    • Levels
    • Gis
    • Earth
    • Horizontal
    • Layers
    • Reference
    • Using
    • Vmap1
    • Vmap
    • Map
    • System
    • Vector
  • mean sea level
    • Resolution
    • Coverage
    • Equivalent
    • Medium
    • Scale
    • Tiles
    • Vmap
    • Global
    • Vertical
    • Domain
    • Public
    • Levels

Connections between topic areas Semantic bridges

For Vector Map, one of the stronger structural bridges in this analysis connects Vector Map 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
Vector Map — Overview · splits 40 ⟂ 22
Vector Map — Description · splits 49 ⟂ 13
Vector Map — Debate about availability of data · splits 52 ⟂ 10
Vector Map — Tools to read and convert VMAP data · splits 54 ⟂ 8
Vector Map — Levels of resolution · splits 59 ⟂ 3
Vector Map — History · splits 59 ⟂ 3

Map overview Semantic statistics

Vector Map

Nodes62
Edges61
Triples8
Avg. degree1.97
Density0.032258
Components1

Source & methodology

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

Source: Wikipedia — Vector Map · EN edition · Analysis: TopicsToTalkAbout

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