Training Course on GIS for Social and Economic Analysis - GIS Software

Module 1: Introduction to GIS for Social and Economic Analysis

Theory:

Overview of GIS applications in social and economic studies.

Types of spatial and socio-economic data: census, surveys, administrative, and open data.

Benefits of GIS for monitoring, planning, and policy-making.

Hands-on: Explore demographic and economic datasets and visualize social patterns.

Case Study: Mapping population distribution and economic activity in a city.

Module 2: Data Acquisition and Management

Theory:

Sources of social and economic data: census, surveys, administrative records, remote sensing.

Data formats, projections, and GIS database management.

Ensuring data quality, consistency, and metadata standards.

Hands-on: Import, clean, and manage social and economic datasets in GIS.

Case Study: Integrating census and survey data for socio-economic mapping.

Module 3: Mapping Demographic and Social Indicators

Theory:

Mapping population, age, gender, education, and health indicators.

Spatial distribution analysis and thematic mapping.

Identifying vulnerable populations and areas of need.

Hands-on: Generate thematic maps for demographic and social variables.

Case Study: Mapping literacy and healthcare access across districts.

Module 4: Mapping Economic Indicators

Theory:

Mapping income, employment, industry, and economic activity.

Identifying economic disparities and trends.

Visualizing spatial patterns in development and resource allocation.

Hands-on: Create maps for economic indicators and analyze regional variations.

Case Study: Economic activity and poverty mapping for urban and rural areas.

Module 5: Spatial Statistical Analysis

Theory:

Exploratory spatial data analysis (ESDA).

Identifying clusters, hotspots, and outliers.

Spatial regression and correlation analysis.

Hands-on: Perform spatial statistical analysis on socio-economic datasets.

Case Study: Hotspot analysis of unemployment and poverty.

Module 6: Accessibility and Service Delivery Analysis

Theory:

GIS for service accessibility: healthcare, education, markets.

Network analysis for optimal service locations.

Measuring equity in service delivery using spatial metrics.

Hands-on: Analyze service accessibility and identify underserved areas.

Case Study: Mapping healthcare accessibility and travel time analysis.

Module 7: Socio-economic Modeling and Scenario Analysis

Theory:

Predictive modeling for population growth, urban expansion, and economic change.

Scenario analysis for policy and planning decisions.

Multi-criteria evaluation for resource allocation.

Hands-on: Build models for demographic and economic projections.

Case Study: Scenario planning for urban infrastructure development.

Module 8: Integration with Big Data and Remote Sensing

Theory:

Using satellite imagery, mobile data, and social media for socio-economic analysis.

Integrating big data with GIS for timely insights.

Data visualization and real-time monitoring.

Hands-on: Incorporate remote sensing and open data into socio-economic GIS analysis.

Case Study: Monitoring urban expansion and informal settlements using GIS and remote sensing.

Module 9: Visualization, Dashboards, and Reporting

Theory:

Creating interactive maps, dashboards, and reports for stakeholders.

Communicating findings effectively for policy and decision-making.

GIS storytelling for social and economic development programs.

Hands-on: Develop interactive dashboards summarizing socio-economic insights.

Case Study: Visualizing social and economic data for regional development planning.

Module 10: Capstone Project

Project Examples:

GIS-based analysis of poverty, employment, and education for urban planning.

Mapping healthcare accessibility and identifying underserved communities.

Socio-economic scenario modeling for regional development policy.

Hands-on: Complete an end-to-end workflow: data collection → analysis → modeling → visualization → reporting.

Presentation: Showcase project outcomes, insights, and recommendations for social and economic planning.