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Geospatial Analysis and Modeling: Introduction

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Introductions and students' backgrounds. Syllabus: lectures and ... Operating systems PC, Mac, Linux. Geospatial Analysis and Modeling MEA592 Helena Mitasova ... – PowerPoint PPT presentation

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Title: Geospatial Analysis and Modeling: Introduction


1
Geospatial Analysis and Modeling Introduction
  • Lecture notes
  • Helena Mitasova
  • NCSU MEAS

2
Outline
  • Introductions and students' backgrounds
  • Syllabus lectures and assignments
  • Course material
  • Grading
  • Topics
  • Technology
  • Project

3
Backgrounds
  • Major
  • Thesis or research topic
  • Classes taken with GIS material
  • Operating systems PC, Mac, Linux

4
Syllabus
  • Course web site
  • http//courses.ncsu.edu
  • http//skagit.meas.ncsu.edu/helena/lteachtest/GIS
    T.html
  • email hmitaso_at_unity.ncsu.edu

5
Lectures
  • software independent, focus on principles
  • theory, concepts, methods
  • slides with class material on the web site
  • writing down notes suggested
  • handouts or book references where needed

Active participation expected share experience
and knowledge, discussions
6
Assignments
  • In-class and homework assignments designed for
    both
  • ArcGIS use ESRI virtual campus to learn it
  • GRASS use e-book NetelerMitasova

7
Assignments
  • In class exercises
  • Step-by-step instructions provided to get you
    started
  • North Carolina data set provided for GRASS and
    ArcGIS

Feedback, suggestions for improvements welcome
8
Assignments
  • Homework assignments
  • finish tasks from class and prepare report
  • submit report for each topic as a hardcopy and
    pdf
  • Task
  • Approach
  • Results with images or maps
  • Min. 500 words and 1-2 pages of images

9
Class materials and textbooks
  • Lecture slides and assignments
  • http//skagit.meas.ncsu.edu/helena/lteachtest/GIS
    T.html
  • Books - recommended
  • Neteler, M. and Mitasova, H., 2008, Open Source
    GIS A GRASS GIS Approach. Third Edition.
    Springer New York, available as e-book
  • Smith, Goodchild, and Longley Geospatial
    Analysis, free http//www.spatialanalysisonline.co
    m/
  • Hengl, T. and Reuter, H. I., 2008,
    Geomorphometry Concepts, Software, Applications,
    Elsevier.
  • Chang, K., 2008, Introduction to GIS, Fourth
    Edition. McGraw-Hill (ArcGIS material)

10
Grading and policies
  • Homework 30
  • Midterm test 20
  • Project 50, becomes part of your GIS
    certificate, GIS MS portfolio
  • Academic integrity http//www.ncsu.edu/stud_affai
    rs/osc/AIpage/acaintegrity.html

11
Topics I
  • Visualization and Analysis
  • Data acquisition and integration
  • Data display and visualization
  • Geospatial Analysis I (GA I) map algebra,
    neighborhood operations, buffers
  • GA II cost surfaces, least cost path

12
Topics I
  • Visualization and Analysis
  • elevation, land cover, schools

13
Topics I
  • Visualization and Analysis
  • cost surfaces

14
Topics II
  • Geomorphometry
  • GA III spatial interpolation
  • Terrain modeling
  • Spatial and Temporal Terrain analysis
  • Viewshed, line of sight
  • Solar energy potential analysis

15
Topics II
  • Geomorphometry

16
Topics II
  • terrain dynamics

17
Topics III
  • Modeling and Project
  • Flow routing, watershed analysis
  • Modeling Geospatial Processes Intro
  • GIS and Hydrologic modeling
  • GIS and Erosion modeling
  • Project

18
Topics III
  • flow routing

19
Topics III
  • flow simulation particle sampling

20
Project
  • Topic Thesis-based or our project
  • Things to consider
  • Well defined research question

21
Project
  • Topic Thesis-based or our project
  • Things to consider
  • Well defined research question
  • Availability of data
  • Amount of work needed to process the data

22
Project
  • Topic Thesis-based or our project
  • Things to consider
  • Well defined research question
  • Availability of data
  • Amount of work needed to process the data
  • Availability of tools
  • Intermediate results in case time runs out
  • Answer to research question in form of map(s), 3D
    images
  • Discussion on potential topics

23
Office hours
  • Office hours
  • Tuesday and Thursday 300 - 400 pm
  • or by appointment
  • Course web site orientation
  • Check login, open ArcGIS and GRASS
  • Use memory stick - min 2GB recommended to take
    the work done in lab with you
  • Install ArcGIS and GRASS on your laptop
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