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PROJ: History, Art & Measurement
PROJ (formerly PROJ.4) is a C/C++ library for performing conversions between cartographic projections. The library is based on the work of Gerald (Jerry) Evenden at the United States Geological Survey (USGS), but since 2019-11-26 is an Open Source Geospatial Foundation (OSGeo) project maintained by the PROJ Project Steering Committee (PSC). The library…
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PROJ topic overview
The analysis highlights History, Art and Measurement as prominent areas in the source structure around PROJ.
Related topics
16
Source areas
3
Connected nodes
19
Extracted relationships
51
Concept neighborhoods
12
Bridge connections
19
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.
History · 7 topics
Overview · 6 topics
Ports · 3 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.
Key facts & relationships
High-confidence facts extracted from structured source data. Use them as anchors for further research.
Developer
Frank Warmerdam
License
MIT
Original author
Gerald Evenden
Platform
Cross-platform
Repository
github.com/OSGeo/PROJ
Stable release
9.8.1 / 10 April 2026; 4 months ago (10 April 2026)
Explore all related topics Closing gaps
A structured outline of related entities, concepts and subtopics. Open any item to build a new map centered on it.
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.
Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.
How PROJ connects Entity context
Entity context groups extracted connections by relationship type. Counts show recurrence in the analyzed source; the examples are research signals, not claims about importance.
The extracted context around PROJ shows recurring relationship patterns in the source. For example, PROJ → After, As, Evenden, Fortran, Frank Warmerdam, GCTP, GDAL, General Cartographic Transformation Package, Gerald Evenden, It, March, May, MetaCRS, OSGeo, Ratfor, September, The, UNIX, WGS84-based Another extracted example is PROJ → Bindings, Excel, Fortran, Golang, Java, JavaScript, Julia, MetaCRS, MySQL, Perl, Proj4J, Proj4JS, Python, Ruby, Rust, TCL, The, Visual Basic. Use these groups to spot repeated connection types before inspecting the individual relationships.
PROJ
Top relations
related to history· 19
PROJ → After, As, Evenden, Fortran, Frank Warmerdam, GCTP, GDAL, General Cartographic Transformation Package, Gerald Evenden, It, March, May, MetaCRS, OSGeo, Ratfor, September, The, UNIX, WGS84-based
Relationships are represented as Subject → Predicate → Object triples. Confidence describes extraction strength, not the real-world importance of a relationship; lower-confidence rows may be contextual rather than explicit.
TTTA extracted 51 structured relationships around PROJ. Examples in this analysis include PROJ → Developer → Frank Warmerdam and PROJ → License → MIT. The table shows each extracted connection, where it came from and its confidence.
Subject
Predicate
Object
Confidence
Src
PROJ
Developer
Frank Warmerdam
1.00
infobox
PROJ
License
MIT
1.00
infobox
PROJ
Original author
Gerald Evenden
1.00
infobox
PROJ
Platform
Cross-platform
1.00
infobox
PROJ
Repository
github.com/OSGeo/PROJ
1.00
infobox
PROJ
Stable release
9.8.1 / 10 April 2026; 4 months ago (10 April 2026)
1.00
infobox
PROJ
Type
Library
1.00
infobox
PROJ
Website
proj.org
1.00
infobox
PROJ
Written in
C++, C
1.00
infobox
PROJ
related to history
The
0.60
section
PROJ
related to history
Gerald Evenden
0.60
section
PROJ
related to history
Ratfor
0.60
section
No triples extracted yet.
Related concept clusters Concept neighborhoods
Concept neighborhoods group terms that sit near one another in the extracted graph. They are useful for discovering adjacent language and context, but proximity does not by itself imply a factual relationship.
The concept neighborhoods around PROJ bring nearby vocabulary together. In this analysis, examples include Release, Coordinate and Osgeo. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
PROJ
Release
Coordinate
Osgeo
Systems
Evenden
Project
Support
Transformation
Back
Geospatial
Gerald
Java
proj
Release
Coordinate
Osgeo
Systems
Evenden
Project
Support
Transformation
Back
Geospatial
Gerald
Java
library
Proj
Also
Geospatial
Gerald
Performing
Based
Gdal
Osgeo
Cartographic
Evenden
Support
Transformation
osgeo
Project
History
Also
Back
Frank
Maintained
May
Metacrs
Org
Warmerdam
Website
Developed
cartographic projections
Projections
Used
Support
Transformation
Release
Data
Fortran
Library
May
Performing
Proj
Based
gdal
Support
Transformations
Geospatial
May
Released
Warmerdam
Library
Used
Version
Transformation
Release
Proj
history
Back
Frank
Org
Warmerdam
Website
Developed
Osgeo
Ports
Release
Library
Proj
open source geospatial foundation
Data
Gerald
Maintained
Gdal
Library
Osgeo
Project
Transformations
Coordinate
Proj
Connections between topic areas Semantic bridges
Semantic bridges connect parts of the graph that would otherwise be more separate. A bridge is a structural signal in this analysis, not a claim that the two topic areas are equivalent.
For PROJ, one of the stronger structural bridges in this analysis connects PROJ with History. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.
Number of nodes, edges, triples, density and central hubs. Use it to gauge the size and connectivity of the map.
PROJ
Nodes20
Edges19
Triples51
Avg. degree1.9
Density0.1
Components1
Source & methodology
TTTA analyzes the structure around PROJ to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History, Art & Measurement, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — PROJ · EN edition · Analysis: TopicsToTalkAbout
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