GEOG 401
Applied Geospatial Data Science
Geography · 4 units · Graduate professional courses (400-499)
Project-based exploration of essential methods and techniques in geographic information systems (GIS) and geospatial technology with focus on modeling, spatial analysis and geoprocessing, spatial data manipulation, geocomputation, and data visualization. Students apply advanced geospatial analysis and data visualization methods to addressing real-world problems and answering geographic research questions. Topics include research design, automation, and multi-step geospatial analysis methodology.
Letter grading.
Requisites
UCLA lists no requisites for this course.
Requires
Everything that has to come before this course, not just the courses named in the requisite above.
Nothing — this is an entry point.
Unlocks
What this course is a requisite for, and what those courses lead to in turn.
GEOG 401
- GEOG 410Geospatial Databases and Data Management
- GEOG 411Geospatial Imagery Analysis
- GEOG 412Programming for Geospatial Data Science I
- GEOG 413Applied Geospatial Statistics
- GEOG 414Programming for Geospatial Data Science II
- GEOG 415Geospatial Data Science Futures
- GEOG 498Capstone I: Geospatial Research Methods
- GEOG 499Capstone II: Geospatial Capstone Project
8 courses list this as a requisite. The whole downstream is here — 9 courses over 2 levels. Every course here opens its own tree.