Spatial Big Data
Represents Spatial Layer and Attributes.
Are data objects or elements that have geographical information present. Enables the global finding and locating of individuals or devices.
SOURCES OF SPATIAL BIG DATA
- GPS able and enabled devices
- Satellite Remote Sensing
- Aerial surveying
- Radar
- Lidar
- Sensor Networks
- Digital Cameras
- LocaTion OF Readings of RFID
- LoT
CORE AREAS OF GEOSPATIAL INTELLIGENCE
- Geodesy and Geophysics
- Photogrammetry
- Remote Sensing
- Cartographic Science
- Geographic Information Systems and Geospatial Analysis
EMERGING AREAS OF GEOSPATIAL INTELLIGENCE
- GEOINT Fusion
- Crowdsourcing
- Human Geography
- Visual Analytics
- Forecasting
COMMON MACHINE LEARNING ALGORITHMS
- Linear Regression
- Logistic Regression
- Decision Tree
- SVM (support Vector Machine)
- Naive Bayes
- KNN (K-Nearest Neighbours)
- K-Means
- Random Forest
- Dimensionality Reduction algorithms
- Gradient Boosting algorithms
- GBM
- XGBoost
- LightGBM
- CatBoost
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