As part of an academic activity in my course "GEOG 124: Geographic Information Systems for Human Geographic Research" specifically our Exercise 4 Output, a QGIS window screenshot showing the digitized version of the Pantabangan-Carranglan Watershed raster was submitted. This exercise is an application of the learned process workflows of data capturing, data preprocessing, and data preparation for digitizing.

• Familiarizing and increasing proficiency with SQLite or SpatialLite handling.

  • This includes creating new SpatiaLite layers, adding fields, and defining the appropriate field types.

• Defining and recalibrating the features to an appropriate Coordinate Reference System (CRS).

• Working with Georeferencer to georeference map image files and establish ground control points via the Add Point Tool.

  • Transforming input raster images to geotagged output rasters.

    • This includes the processes of image rectification, transformation (Affine, Polynomial 1), and resampling (Nearest Neighbor).

• Manipulating the Attributes Form to prepare for digitizing.

  • This includes Widget encoding and inputting Value Map CSV tables.

  • Utilizing constraints and rules.

• Using the Advanced Digitizing Toolbar to create new feature attributes.

  • This includes the proficiency in using the Vertex Tool, Fill Ring, and Split Polygon.

• Checking for Topological and Geometrical Validity by setting rules and manually addressing possible errors.

  • Explored the v.clean tool and evaluated its output quality in comparison to manual.