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Computer Science
Data Visualization
Geospatial Data Analysis and Visualization
1. Foundations of Geospatial Science
2. Geospatial Data Acquisition and Management
3. Geospatial Data Models
4. Geospatial Analysis Techniques
5. Geospatial Visualization and Cartography
6. Tools and Technologies
7. Applications and Advanced Topics
Geospatial Data Acquisition and Management
Sources of Geospatial Data
Primary Data Collection
Field Surveys
Surveying Instruments
Data Collection Techniques
Global Navigation Satellite Systems
GPS
GLONASS
Galileo
BeiDou
Accuracy and Error Sources
Mobile GIS Data Collection
Mobile Devices and Apps
Field Data Collection Workflows
Secondary Data Sources
Remote Sensing
Satellite Imagery
Types of Satellites
Spatial Resolution
Spectral Resolution
Temporal Resolution
Radiometric Resolution
Aerial Photography
Photogrammetry
Orthorectification
Government Data Portals
National Mapping Agencies
International Data Repositories
Open Data Initiatives
OpenStreetMap
Open Government Data
Crowdsourced Data
Volunteered Geographic Information
Quality and Validation of Crowdsourced Data
Data Formats and Standards
Vector Data Formats
Shapefile
Structure and Limitations
GeoJSON
Structure and Use Cases
Keyhole Markup Language
Structure and Applications
Geography Markup Language
XML-based Structure
Raster Data Formats
GeoTIFF
Georeferencing in TIFF
JPEG 2000
Compression and Use Cases
NetCDF
Multidimensional Data Storage
Database Formats
PostGIS
Spatial Extensions for PostgreSQL
SpatiaLite
Spatial Extensions for SQLite
Geodatabase
File Geodatabase
Personal Geodatabase
Open Geospatial Consortium Standards
Web Map Service
Map Image Delivery
Web Feature Service
Vector Feature Delivery
Web Coverage Service
Raster Data Delivery
Simple Features Specification
Data Management
Spatial Databases
Database Design for Spatial Data
Spatial Data Storage and Retrieval
Spatial Indexing
R-trees
Structure and Use
Quadtrees
Structure and Use
Other Indexing Methods
Metadata
FGDC Metadata Standards
ISO 19115 Metadata Standards
Metadata Elements
Importance of Metadata
Data Quality Assessment
Positional Accuracy
Sources of Error
Accuracy Assessment Methods
Attribute Accuracy
Validation Techniques
Logical Consistency
Topological Rules
Completeness
Data Gaps and Missing Values
Lineage and Provenance
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1. Foundations of Geospatial Science
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3. Geospatial Data Models