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Module Title: 
GIS and Spatial Statistics
Module Code: 
DSC6331

Module Content

Unit 1. GIS

GIS concepts: GIS definitions, GIS applications in urban planning and environmental management, GIS software.

Representing geographic features: Primitive elements (point, line, and polygon); vector data structures; raster data structures; layers.

Spatial data and sources: data definition, types, format, standard, conversion, precision and accuracy.

Data entry and preparation: creating and editing features and attributes, data cleaning, topology, GPS data collection, recording and integration, data quality.

Map projections and transformation, geo-referencing of data.

Practicals: Introduction ArcGIS GIS (ArcMap, ArcCatalog, ArcToolbox), Open source GIS softwares

Unit 2: Spatial statistics

Introduction to spatial statistics: point level models, areal (lattice) models, spatial point processes

Estimation and modelling of spatial correlations: estimating variogram, fitting parametric models (matern class), maximum likelihood estimation, restricted maximum likelihood

Spatial prediction and Interpolation (kriging): spatial regression, kriging, frequentist corrections for unknown covariance structure, model misspecification in kriging

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African Center of Excellence in Data Science(ACE-DS)

Head Office:UR College of Business & Economics

E-mail:   aceds@ur.ac.rw

Phone:(+250) 788484421