GIS122

Taught by

Dr. Abu Z. Badruddin

Professor of GIS
Cayuga Community College
197 Franklin Street, Auburn, NY 13210

Live: (315) 294-8610
Fax: (315) 255-2117
Email: badruddin@cayuga-cc.edu
Office: M274 Main Building

Textbook

There is no single textbook for this class. Required reading materials will be given in the class or be placed on reserve at the library

Course Purpose

This course is an introduction to spatial modeling using raster GIS. Basic theories and concepts of spatial modeling will be discussed and students will learn how to use various modeling techniques available in a raster GIS for solving complex environmental and management problems.

Course Objectives

At the conclusion of this course, students will:

• be aware about the basic structures and functionality of raster GISs.
• understand, at an introductory level, the nature, characteristics, specification, types, acquisition, processing, organization, and management of spatial or geographic data.
• be able use a typical raster GIS package (TerrSet/IDRISI) for spatial modeling.

Laboratory Exercise

Each lab assignment will be considered as an exercise and is due following week. Late submission will not be accepted! Please see me if you have an emergency. Laboratory exercises will contribute substantially to your course grade. Students may be asked to repeat work that is not satisfactory.

Grading

Component	Weight
Exams	50%
Lab exercises	50%

*** The above grading is subject to change at the instructor's discretion ***

Requirements

• A three-ring binder for the class notes, handouts, quizzes, exams, and exercises
• Logbook for recording operation, steps, filenames, and problems

Lecture Topics Outline

Week	Topic
Week 1	Introduction to spatial modeling and raster GIS Lab: Introduction to TerrSet/IDRISI
Week 2	Data structure and automation Lab: Creating digital data layers
Week 3	Raster Data and File Types, Sources of GIS Data Lab: Input and Viewing Cartographic Data
Week 4	Data Types, Encoding techniques, and Entry Methods Lab: Analysis and manipulation of spatial data
Week 5	Logical Operations and Map Overlay Lab: Reclass and Overlay
Week 6	DEM and Surface Analysis Lab: Generating Slope, Aspect, and new data layers from existing digital data
Week 7	Midterm: Written Part (closed book) and Computer Part(open book)
Week 8	Modeling with overlay Lab: Selecting suitable sites
Week 9	Spatial query Lab: Reclassification and grouping
Week 10	Viewshed and Watershed Analysis Lab: Multicriteria decision making in a GIS
Week 11	Siting problems and Proximity analysis Lab: Selecting suitable sites for Landfill
Week 12	SPRING BREAK
Week 13	Satellite Image and GIS Data Lab: Feature detection
Week 14	Change Detection Lab: Detection and monitoring urban growth and development
Week 15	Map making process and presentation Lab: Map composition
Week 16	Review and mock exam
Week 17	FINAL EXAM