Week 3: Spatial Data ModelsObjectives•Provide a definition of a ‘spatial data model’•Explain how spatial entities are used to create a data model•Distinguish between rasters and vectors•Describe a spatial data structure•Explain what topology is•List the advantages and disadvantages of different types of spatial modelsWeek 4: Relational Database ManagementObjectives•Differentiate between relational database management systems (RDBMS), databases, and data files.•Explain why we select the database approach for GIS•Define what a relational database is•Describe how databases are created•Describe GIS database applicationsWeek 5: Data Input, Throughput, and QualityObjectives• Review the concept, practice, and challenges of geocoding•Discuss georeferencing and digitization in detail•Distinguish between errors of accuracy and precision and their consequences in spatial analysisWeek 6: Vector AnalysisObjectives•Describe Measurements in GIS•Perform data queries in ArcGIS Pro•Explain techniques used in reclassification of data•Describe Buffering Functions and map overlaysWeek 7: A Brief Introduction to R & PythonObjectives•List applications/uses of a coding languages•Know many of the popular input file types•Understand/Replicate functions, syntax, style•Know the names of essential packages/libraries•List commonly automated...