Research any topic before you write.

Find related topics. | Discover entities. | See connections. | Build a topical map.

TerraLib

TerraLib is an open-source geographic information system (GIS) software library. It extends object-relational database management systems (DBMS) to handle spatiotemporal data types.

Design and development, TerraAmazon & TerraView

Use the mouse wheel or two fingers (on touchscreens) to zoom in and out of the map.

Research this topic

Explore the main themes, entities and connections around TerraLib. Start with the topic map, then use the sections below for research and deeper semantic analysis.

Explore this topic

Start with a few of the strongest sections from the source topic. These are research directions, not a list of keywords you must use.

Key facts & relationships

High-confidence facts extracted from structured source data. Use them as anchors for further research.

Developers
INPE, TecGraf/PUC-RIO and FUNCATE
License
LGPL
Operating system
Linux, Windows
Stable release
5.4.3 / July 5, 2019
Type
Geographic information system software library

Topics to explore

Browse the full topic structure. Each item opens a new analysis centered on that subject.

Overview

Design and development

TerraView

TerraAmazon

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.

Map overview Semantic statistics

TerraLib

Nodes38
Edges37
Triples61
Avg. degree1.95
Density0.052632
Components1

How this topic connects Entity context

See the strongest relationship patterns around the current topic before diving into the raw triples.

TerraLib

Top relations

related to TerraAmazon · 22
TerraLib → Belém, Brazil, Brazil's Amazon, Brazilian Second National Communication, CRA, CRA's, DEGRAD, DETER, Due, FUNCATE, GIS, INPE, INPE's Amazon Regional Center, It, National Institute, PostgreSQL, PRODES, Space Research, TerraAmazon, The
related to TerraView · 15
TerraLib → ACCESS, ASCII-Grid, ASCIISpring, GeoTIFF, GIS, JPEG, MySQL, Oracle Spatial, PostgreSQL, Raster, RAW, TerraLib GIS, TerraView, The, TIFF
related to Design and development · 12
TerraLib → ANSI-C, DBMS, It, Its, Java, MySQL, OGC, Open Geospatial Consortium, Oracle, PostgreSQL, The, Visual Basic
Developers · 1
TerraLib → INPE, TecGraf/PUC-RIO and FUNCATE
License · 1
TerraLib → LGPL
Operating system · 1
TerraLib → Linux, Windows
Stable release · 1
TerraLib → 5.4.3 / July 5, 2019
Type · 1
TerraLib → Geographic information system software library
Website · 1
TerraLib → www.terralib.org
is a · 1
TerraLib → open-source geographic information system

Important terminology Word statistics

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

Important terminology

data terraamazon database terraview open-source library gis software vector developed spatial national inpe geographic using handles funcate system supports allows

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
TerraLibDevelopersINPE, TecGraf/PUC-RIO and FUNCATE1.00infobox
TerraLibLicenseLGPL1.00infobox
TerraLibOperating systemLinux, Windows1.00infobox
TerraLibStable release5.4.3 / July 5, 20191.00infobox
TerraLibTypeGeographic information system software library1.00infobox
TerraLibWebsitewww.terralib.org1.00infobox
TerraLibis aopen-source geographic information system0.90text
GeoTIFFinstance ofRaster data can be shared in different formats0.80text
TIFFinstance ofRaster data can be shared in different formats0.80text
JPEGinstance ofRaster data can be shared in different formats0.80text
RAWinstance ofRaster data can be shared in different formats0.80text
ASCII-Grid or ASCIISpringinstance ofRaster data can be shared in different formats0.80text

Related concept clusters Concept neighborhoods

These clusters group vocabulary that occurs around closely connected concepts in the source material.

    Connections between topic areas Semantic bridges

    Bridges can reveal useful research angles that are easy to miss in a flat list of related terms.

    Min side: 3
    For writers, content strategists, SEOs, marketers and creators — from quick topic research to advanced semantic analysis.