Geospatial Data Analysis and Management Using ArcGIS

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Geospatial Data Analysis and Management Using ArcGIS

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About this course

TRAINING CURRICULUM Training Title Geospatial Data Analysis and Management Using ArcGIS Training Level Basic Training Durations: 51 Hours in 17 Sessions Implementing Institution Urban and Rural Planning Discipline, Khulna University Program Enhancing Digital Government and Economy (EDGE) Project Bangladesh Computer Council (BCC) ICT Division, Ministry of Posts, Telecommunications and Information Technology Government of the People’s Republic of Bangladesh 1. Rational of The Training Program Geographic Information Systems (GIS) have become an essential tool for analyzing, managing, and visualizing spatial data across multiple sectors, including urban planning, environmental management, disaster risk reduction, agriculture, and public health. In the context of rapidly growing cities and climate-vulnerable regions like Bangladesh, the demand for GIS-skilled professionals is increasing significantly. Despite this growing demand, many students and early-career professionals lack practical knowledge and hands-on experience in GIS applications. This training program is designed to bridge that gap by offering a comprehensive, hands-on learning experience that integrates fundamental concepts with practical skills. Participants will be introduced to spatial data handling, map production, spatial analysis, and decision-support techniques. The program also emphasizes real-world applications, enabling learners to apply GIS tools to address contemporary challenges such as urban growth management, environmental monitoring, and identify suitable land-use zones, and support evidence-based planning decisions. By combining theoretical understanding with practical exercises and project-based learning, this training aims to build participants’ capacity to use GIS effectively in academic, professional, and research contexts. Ultimately, the program seeks to develop a skilled workforce capable of supporting data-driven planning and sustainable development initiatives. 2. Objectives of the Training Program • To develop a clear understanding of fundamental GIS concepts, components, and terminology • To build skills in handling and managing spatial data in both vector and raster formats • To enable participants to perform spatial analysis and produce effective maps • To enhance the ability to visualize and interpret spatial data for better understanding • To strengthen problem-solving and analytical skills through hands-on exercises and case studies 3. Training Contents The training program is organized into a series of modules that combine theoretical knowledge with practical, hands-on sessions. It follows a step-by-step approach, starting from basic GIS concepts and progressing to the real-world applications. Participants will learn fundamental GIS principles, spatial data types, and data models, followed by practical training in GIS software (ArcGIS) for data handling and map creation. The program also covers coordinate systems, map projections, and cartographic design to develop professional mapping skills. Further, the training focuses on data digitization, editing, and quality control, along with spatial analysis techniques using geoprocessing tools and raster analysis. Finally, participants will apply their knowledge through real-world case studies and a capstone project, enabling them to use GIS effectively for problem-solving and decision-making. Table 1: Key Contents of the Training Program Module Session Topic Key Contents Module 1: Introduction to GIS 1 Fundamentals of GIS, Applications & Software Definition & components (hardware, software, data, people, methods) of GIS, History and evolution of GIS, key terminologies and Applications (environment, urban planning, health, agriculture) of GIS 2 Introduction to ArcGIS Details of ArcGIS/ Arc Catalogue/ ArcScene- extensions, toolbars etc. Layers/Data frame/Neat line and map canvas, Navigation tools, Data organization, Data loading, Retrieve and sharing of data, Metadata 3 GIS Data, database development, data sources Spatial vs non-spatial data, Characteristics of spatial data, Raster vs vector data, Primary & secondary data, GIS data sources, geodatabase concepts, scale, resolution, accuracy, precision Module 2: GIS Data & Visualization 4 GPS and Satellite System KML/KMZ creation, Google Maps export, File sharing between systems, GPS data import, Excel/CSV to shapefile 5 Data Visualization and Map Design Adding layers, Layer organization, Data visualization principles, Fundamentals of map elements, Map design process, Map styling, Symbols, classification Module 3: GIS Data Development and Map Editing 6 Map Digitizing Latitude/longitude, Grid system, Map projections, Distortion, UTM, BTM, Importance of projection, Datum and georeferencing, Digitizing GIS Data, creating point, line and polygon features. 7 Map Editing Editing vertices, Topology creation, Error minimization in editing, Spatial adjustments, Modifying Existing Features (Reshape, Split, Merge), Vertex Editing (Add, Move, Delete Vertices) 8 Managing large maps Map Layout: Title, scale, north arrow, legend, layout design, Labeling GIS data, Map Production, Map export/sharing (map package) 9 Mid-Term Assessment Module 4: Attribute Data Management 10 Attribute Operations Attribute and Spatial joining, Editing attribute data, Field calculator, Calculate geometry, Calculate statistics 11 Spatial Selection & Query Operations Select by attribute (using different operators), Select by location (using different methods) Module 5: Spatial Analysis 12 Overlay and Geoprocessing Tools Erase, Intersect, Spatial Join, Buffer, clip, intersect, dissolve, Merge, Union 13 Raster GIS Euclidean Distance, Reclassification, Weighted Overlay, Raster Calculator 14 Site Suitability Analysis Introduction to suitable site selection, Data preparation, Criteria development, Overlay operations Module 6: Capstone Project 15 GIS Project Design & Automation Problem identification, Workflow design Automation in GIS, Density mapping 16 Advancement in GIS Multi criteria decision making/ Network Analysis 17 Final Exam Table 2: Detailed Session Plan with Time Schedule and Resource Person Module Session Session Title Resource Person Date A B Module 1: Introduction to GIS 1 Fundamentals of GIS, Applications & Software AK 15/4 pm 16/4 pm 2 Introduction to ArcGIS AK 17/4 am 17/4 pm 3 GIS Data, database development, data sources TR 18/4 am 18/4 pm Module 2: GIS Data & Visualization 4 GPS and Satellite System TR 19/4 pm 20/4 pm 5 Data Visualization and Map Design RM 21/4 pm 22/4 pm Module 3: GIS Data Development and Map Editing 6 Map Digitizing HM 23/4 am 23/4 pm 7 Map Editing HM 24/4 am 24/4 pm 8 Managing large maps HM 25/4 am 25/4 pm Module 4: Attribute Data Management 09 Attribute Operations RM 26/4 pm 27/4 pm 10 Spatial Selection & Query Operations AK 28/4 pm 29/4 pm 11 Mid-Term Assessment AK,TR,RM 30/4 pm 30/4 pm Module 5: Spatial Analysis 12 Overlay and Geoprocessing Tools TR 1/5 am 1/5 pm 13 Raster GIS KSI 2/5 am 2/5 pm 14 Site Suitability Analysis TR 3/5 pm 4/5 pm Module 6: Capstone Project 15 GIS Project Design & Automation TR 5/5 pm 6/5 pm 16 Advancement in GIS KSI 7/5 pm 8/5 am 17 Final Exam 8/5 pm 8/5 pm Resource Persons Name Short Form Professor Md Ahsanul Kabir AK Professor Kazi Saiful Islam KSI S.M. Tafsirul Islam TR Md. Rimu Mia RM Hriday Molla HM 4. Evaluation Techniques The performance of trainees will be assessed through a combination of continuous and final evaluation methods to ensure both theoretical understanding and practical competency in geospatial data analysis and spatial data management. Attendance and active participation will contribute to class engagement, while quizzes and assignments will evaluate conceptual clarity and regular learning progress. A mid-term assessment will measure basic knowledge and skill development, and a project component will assess the ability to apply GIS techniques to real-world problem solving. The final assessment will comprehensively evaluate overall learning outcomes, integrating both theoretical and practical aspects of the training. Table 3: Evaluation Breakdown Evaluation Components Weight (%) Class attendance 10% Quiz and Assignments 20% Mid Term Assessment 25% Project 20% Final Assessment 25% Total 100 5. Recommended Reading Materials Chang, K. T. (2008). Introduction to geographic information systems (Vol. 4). Boston: McGraw-Hill. Longley, P. A., Goodchild, M. F., Maguire, D. J., & Rhind, D. W. (2005). New developments in geographical information systems: principles, techniques, management and applications. John Wiley & Sons, Inc. McHaffie, P., Hwang, S., & Follett, C. (2023). GIS: an introduction to mapping technologies. CRC Press. Online Resources: https://spatialanalyst-analysis-1.hub.arcgis.com/ https://freegisdata.rtwilson.com/ https://diva-gis.org/data.html

Course Content

 

TRAINING CURRICULUM

Training Title

Geospatial Data Analysis and Management Using ArcGIS

 

Training Level

Basic

Training Durations: 51 Hours in 17 Sessions

 

Implementing Institution

Urban and Rural Planning Discipline, Khulna University

Program

Enhancing Digital Government and Economy (EDGE) Project

Bangladesh Computer Council (BCC)

ICT Division, Ministry of Posts, Telecommunications and Information Technology

Government of the People’s Republic of Bangladesh

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

1. Rational of The Training Program

Geographic Information Systems (GIS) have become an essential tool for analyzing, managing, and visualizing spatial data across multiple sectors, including urban planning, environmental management, disaster risk reduction, agriculture, and public health. In the context of rapidly growing cities and climate-vulnerable regions like Bangladesh, the demand for GIS-skilled professionals is increasing significantly.

Despite this growing demand, many students and early-career professionals lack practical knowledge and hands-on experience in GIS applications. This training program is designed to bridge that gap by offering a comprehensive, hands-on learning experience that integrates fundamental concepts with practical skills. Participants will be introduced to spatial data handling, map production, spatial analysis, and decision-support techniques. The program also emphasizes real-world applications, enabling learners to apply GIS tools to address contemporary challenges such as urban growth management, environmental monitoring, and identify suitable land-use zones, and support evidence-based planning decisions.

By combining theoretical understanding with practical exercises and project-based learning, this training aims to build participants’ capacity to use GIS effectively in academic, professional, and research contexts. Ultimately, the program seeks to develop a skilled workforce capable of supporting data-driven planning and sustainable development initiatives.

2. Objectives of the Training Program

·       To develop a clear understanding of fundamental GIS concepts, components, and terminology

·       To build skills in handling and managing spatial data in both vector and raster formats

·       To enable participants to perform spatial analysis and produce effective maps

·       To enhance the ability to visualize and interpret spatial data for better understanding

·       To strengthen problem-solving and analytical skills through hands-on exercises and case studies

3. Training Contents

The training program is organized into a series of modules that combine theoretical knowledge with practical, hands-on sessions. It follows a step-by-step approach, starting from basic GIS concepts and progressing to the real-world applications.

Participants will learn fundamental GIS principles, spatial data types, and data models, followed by practical training in GIS software (ArcGIS) for data handling and map creation. The program also covers coordinate systems, map projections, and cartographic design to develop professional mapping skills.

Further, the training focuses on data digitization, editing, and quality control, along with spatial analysis techniques using geoprocessing tools and raster analysis. Finally, participants will apply their knowledge through real-world case studies and a capstone project, enabling them to use GIS effectively for problem-solving and decision-making.

Table 1: Key Contents of the Training Program

Module

Session

Topic

Key Contents

Module 1: Introduction to GIS

1

Fundamentals of GIS, Applications & Software

Definition & components (hardware, software, data, people, methods) of GIS, History and evolution of GIS, key terminologies and Applications (environment, urban planning, health, agriculture) of GIS

2

Introduction to ArcGIS

Details of ArcGIS/ Arc Catalogue/ ArcScene- extensions, toolbars etc. Layers/Data frame/Neat line and map canvas, Navigation tools, Data organization, Data loading, Retrieve and sharing of data, Metadata

3

GIS Data, database development, data sources

Spatial vs non-spatial data, Characteristics of spatial data, Raster vs vector data, Primary & secondary data, GIS data sources, geodatabase concepts, scale, resolution, accuracy, precision

Module 2: GIS Data & Visualization

4

GPS and Satellite System

KML/KMZ creation, Google Maps export, File sharing between systems, GPS data import, Excel/CSV to shapefile

5

Data Visualization and Map Design

Adding layers, Layer organization, Data visualization principles, Fundamentals of map elements, Map design process, Map styling, Symbols, classification

Module 3: GIS Data Development and Map Editing

6

Map Digitizing

Latitude/longitude, Grid system, Map projections, Distortion, UTM, BTM, Importance of projection, Datum and georeferencing, Digitizing GIS Data, creating point, line and polygon features.

7

Map Editing

Editing vertices, Topology creation, Error minimization in editing, Spatial adjustments, Modifying Existing Features (Reshape, Split, Merge), Vertex Editing (Add, Move, Delete Vertices)

8

Managing large maps

Map Layout: Title, scale, north arrow, legend, layout design, Labeling GIS data, Map Production, Map export/sharing (map package)

 

9

Mid-Term Assessment

Module 4: Attribute Data Management

10

Attribute Operations

Attribute and Spatial joining, Editing attribute data, Field calculator, Calculate geometry, Calculate statistics

11

Spatial Selection & Query Operations

Select by attribute (using different operators), Select by location (using different methods)

Module 5: Spatial Analysis

12

Overlay and Geoprocessing Tools

Erase, Intersect, Spatial Join, Buffer, clip, intersect, dissolve, Merge, Union

13

Raster GIS

Euclidean Distance, Reclassification, Weighted Overlay, Raster Calculator

14

Site Suitability Analysis

Introduction to suitable site selection, Data preparation, Criteria development, Overlay operations

Module 6: Capstone Project

15

GIS Project Design & Automation

Problem identification, Workflow design

Automation in GIS, Density mapping

16

Advancement in GIS

Multi criteria decision making/ Network Analysis

 

17

Final Exam

 

Table 2: Detailed Session Plan with Time Schedule and Resource Person

Module

Session

Session Title

Resource Person

Date

A

B

Module 1: Introduction to GIS

1

Fundamentals of GIS, Applications & Software

AK

15/4 pm

16/4 pm

2

Introduction to ArcGIS

AK

17/4 am

17/4 pm

3

GIS Data, database development, data sources

TR

18/4 am

18/4 pm

Module 2: GIS Data & Visualization

4

GPS and Satellite System

TR

19/4 pm

20/4 pm

5

Data Visualization and Map Design

RM

21/4 pm

22/4 pm

Module 3: GIS Data Development and Map Editing

6

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