Introduction to GIS

What is GIS?
What can you do with GIS?
What is Remote Sensing?
Think of ways to apply GIS
What are the Resolutions?
Types of Resolutions
Digital Image Processing
Introduction to GPS
What is Spatial Data Model (Vector and Raster)
Overview of GIS Architecture

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Datum and Projection

Datum
Coordinate System
Map Projection
Map Scales

 

Data Types, Heads-up Digitization
Vector and Raster Data
Non-Spatial Data (CSV)
Creating Vector Files and Data Collection
Attribute Table Creation/Editing, Join Table
Attribute table (Join Table & Spatial Query (By Location and Attribute)

 

Symbology & Labelling
Introduction to Symbolization.
Single Symbol, Unique Value
Graduated Colours, Proportional Symbol
Dot Density, Chart
Heat Map

Making a map with labels
Displaying dynamic labels
Reference scale
Controlling which features are labeled
Controlling where labels are placed
Converting labels to annotation 
 
Spatial Data Input and Editing
Introduction to Spatial datasets
Topology & Error Checking
Basic Spatial Adjustment 

Remote Sensing & Orth rectification
Satellite Imagery and Types – Point Cloud
Using GCP, Vector files, KML, Top sheets, PDF
Heat Map using QGIS and Hotspot Analysis

Cartographic Principles and Design
Introduction.
History of Maps.
Map Layout.
Symbology.
Data Presentation

Introduction to Database Management (Practical) 
Creating, Managing Geo-Database.
Domain and Subtype.
Schema & Topology.
Projections and Transformations.
Feature Conversions.
Raster Dataset

Spatial Adjustment
Rubber sheet.
Transformation (Affine, Projective, and Similarity)
Edge Snap
 

Introduction to Vector & Raster GeoProcessing
Clip, Buffer, Union, Merge Dissolve – Vector.
Clip, Composit Band, Mosaic, Split Raster
 
Introduction to Toolbox (ArcGIS)
Analysis Tool (Practical)
Extract.
Overlay.
Proximity Analysis (Buffer, Multiple Ring Buffer, etc.)
Statistics Analysis

Network Analysis (Practical)
Finding the Shortest route.
New Service Area.
New Closest Facility
New OD Cost Matrix.
New Location Allocation

Introduction to Remote Sensing (Theory and Practicals) 
Basic Remote Sensing and Jargon.
Overview of existing satellites (e.g. Landsat and Sentinel).
Future and development of remote sensing.
Hyperspectral Data Analysis (Overview).
Normalized Difference Vegetation Index (NDVI)

Image Classification (Practical)
Data exploration and pre-processing.
Collecting training samples.
Evaluating training samples.
Editing classes.
Creating the signature file
Clustering (unsupervised classification).
Examining the signature file
Editing the signature file.
Applying classification.
Post-classification processing
 
Performing spatial analysis (Practical)
Lesson introduction.
The geographic approach - revisited.
Questions you can answer with GIS
What is spatial analysis?
Common analysis tasks
Analyze crime data
Watershed Analysis

Spatial Statistics (Practical)
Hot Spot Analysis
Geostatistical Analysis

Model Builder (Practical)
Building Models for GIS Analysis using ArcGIS.
Create a new geoprocessing model.
Validating the model.
Set model parameters
Prepare the model for sharing

3D Visualization Techniques using ArcScene (Practical)
Data used for 3D visualization.
Z-values.
Raster data.
Triangulated irregular networks (TINs).
Terrain datasets.
Multipatch features.
3D features.
3D navigation basics.
Identify data types.
Hot Spot Analysis

 

Connecting to web services 
Web Mapping Service (WMS).
Web Feature Service (WFS).
Finding web services

Spatial Interpolation 
Surface Trend 
Inverse Distance Weighted, Kriging and Spline
Kernel Estimation
Theisen Polygon
Triangulation Irregular Networks
Dummy Points
Extract by points

Urban sprawl characterization using Landscape Metrics 
Urban growth pattern
Metrics for Urban growth pattern
Urban growth analysis

Multi-Criteria Decision Analysis 
Application Areas
Weighting of variables
Weighting Methods 

GIS functionality and spatial analysis in Urban planning. 
Image Indexing
Site-suitability
Terrain Analysis
Land use distribution
Accessibility to services and amenities
Smart cities 

Analyzing Patterns using Spatial Statistics 
GIS applications in combination with introductory statistics
Area Statistics
Population Density analysis

Modelling Spatial Relationships 
Spatial calculation
Attribute relationship
Proximity analysis 

Urban Count Analysis 
 
Urban Health sector 
Disaster and Hazards
Health assessment
Vulnerability, Risk and Threat Analysis
Green solutions 

Urban Noise Theory 
Usage of GPS Essentials
Usage of Windy
Use of Wide Noise
Compilation of the variables