spatial-analysis-and-algorithms-in-gis-labworks's Introduction

Spatial Analysis and Algorithms in GIS Labworks

Prepared for Spatial Analysis and Algorithms in GIS course given in the Geomatics Engineering Department of Istanbul Technical University.

Week 1: Basic Vector Operations (QGIS)
- Clip, Buffer, Spatial & Non-spatial Queries
Week 2: Basic Raster Operations (QGIS)
- Hillshade, Slope, Aspect, Proximity, Raster Calculator
Week 3: Topology (QGIS)
- Topology Rules for Point, Polyline and Polygons
Week 4: Spatial Database Development & Applications (QGIS-PostGIS)
- Conceptual, Logical & Physical Models
- Spatial Queries
Week 5: Spatial Relationships & Geometric Operations (QGIS-PostGIS)
- Spatial Relationships (Intersect, Cross, Touch, Overlap, Within, Equal, Contains)
- Area & Distance Calculations, Convex Hull, Point in Polygon
Week 6: Cost Distances & Centering Analysis (QGIS-PostGIS)
- Euclidean Distance, Network Distance
- Mean Center, Weighted Mean Center
Week 7: Grid Based Analysis (ArcGIS Pro-ModelBuilder)
- Grid Operations
Week 8: Spatial Data Exploration & Spatial Statistics (ArcGIS Pro)
- Hotspot Analysis
- Ordinary Least Squares, Spatial Autocorrelation, Geographically Weighted Regression
Week 9: Hydrology Analysis (ArcGIS Pro-ModelBuilder)
- Fill, Flow Direction, Flow Accumulation, Watersheds, Stream Network, Stream Order
Week 10: Geostatistical Analysis (ArcGIS Pro)
- Kriging, Inverse Distance Weighting, Semivariogram/Covariance Models, Cross Validation
Week 11: Network Analysis (ArcGIS Pro)
- Routing Analysis, Service Area, OD Cost Matrix

All data used for exercises are obtained from open source database/resources such as OpenStreetMap, NaturalEarth, USGS EarthExplorer and Copernicus Land Monitoring Service.

Feel free to contact me if you need help on anything or have any suggestion. e-mail: [email protected]