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The Structured Geospatial Analytic Method (SGAM) is both as an analytic method and pedagogy for the Geospatial Intelligence professional. This model was derived from and incorporates aspects of both Pirolli and Card’s sensemaking process and Richards Heuer’s Analysis of Competing Hypotheses model. This is a simplified view of the geospatial analytic…
The analysis highlights Products and Overview as prominent areas in the source structure around Structured Geospatial Analytic Method.
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.
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.
High-confidence facts extracted from structured source data. Use them as anchors for further research.
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TTTA extracted structured relationships around Structured Geospatial Analytic Method. The table shows each extracted connection, where it came from and its confidence.
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The concept neighborhoods around Structured Geospatial Analytic Method bring nearby vocabulary together. In this analysis, examples include Analytic, Analyst and Process. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
Bridges highlight paths between different parts of the Structured Geospatial Analytic Method map and can reveal research angles that are easy to miss in a flat list.
TTTA analyzes the structure around Structured Geospatial Analytic Method to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Products & Overview, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Structured Geospatial Analytic Method · EN edition · Analysis: TopicsToTalkAbout