This document outlines a training program on geographic information systems (GIS) and spatial statistics. The program consists of 11 modules that cover fundamentals of GIS, basics of statistics, socio-economic indicators, demographic indicators, introduction to geostatistics, spatial statistics, and spatial regression. Each module includes multiple lectures on related topics, techniques, and software. The overall aim is to provide education and training to develop a more demand-driven geospatial workforce.

1. GI-N2K
Geographic Information – Need to Know
Towards a more demand-driven geospatial
workforce education/training system
Socio-Economic Planning profiles: Sciences VS
Daily activities in public sector

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12. Modules
• Fundamentals of GIS
• Basics of Statistics
• Socio-economic indicators
• Demographic indicators
• Introduction to geostatistics
• Spatial Statistics
• Spatial Regression
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13. Lectures
Fundamentals of GIS
• GIS COMPONENTS
• SPATIAL DATA MODELING (Vector Raster)
• GIS DATA (Attribute data, Spatial data)
• GEO-REFERENCING DATA
• LAYERS
• QUERYING GIS DATA
• DTM
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14. Lectures
Basics of Statistics
• Mean
• Median
• Mode
• Range
• Variance
• Standard deviation
• Regression
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15. Lectures
Socio-economic indicators
• Economic development
• labour productivity
• employment rate
• Investments by institutional sectors
• Real adjusted gross disposable income of
households per capital
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16. Lectures
Demographic indicators
• mortality rate
• natural increase
• International Migration trends
• Internal Migration trends
• dependency ratio
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17. Lectures
Introduction to geostatistics
• Kriging
• Variogram
• Software for geostatistics
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18. Lectures
Spatial Statistics
• Kernel density estimation
• Nearest neighbor distance
• Moran index
• G function by Getis and Ord
• LISA
• Software for spatial autocorrelation
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19. Lectures
Spatial Regression
• OLS Regression
• Regression
• Geographically Weighted Regression
• GWR and Spatial Autocorrelation
• Software for Geographically Weighted
Regression
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