GDRR 514 - Extraction And Analysis Of Geospatial Data

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GDRR 514 - Extraction And Analysis Of Geospatial Data

The students will have a good overview of acquisition and exploration of geospatial data principles and methods and be able to select the most appropriate data acquisition and exploration methods as well as working environment.

Contact Hours

56 hours
1 meeting per week 4 hours per meeting
14 weeks

Prerequisites

GDRR 511

Course Learning Objectives

At the end of the course, the students shall be able to:
  1. CLO 1: Differentiate vectors and rasters, and the types of processing and analysis associated with the type of data.
  2. CLO 2: Extract features and imagery from authoritative data sources.
  3. CLO 3: Apply pre-processing workflows to geospatial data in preparation for analysis.
  4. CLO 4: Apply geospatial analysis with GIS software and programming.

References

Call Number

Description

EL 910.285 C36243 2016

Chang, Kang-Tsung. Introduction to geographic information systems. Eighth edition.

ICS 005.133 L172 2019

Lambert, Kenneth A. Fundamentals of python : data structures. 2nd edition. Australia : Cengage Learning, @2019.

Wiley ebook

Haklay, M.  Interacting with geospatial technologies. 2015. 

Wiley ebook

Singh, S. Techniques for disaster risk management and mitigation. 2020.

Wiley ebook

Weng, Q. Scale issues in remote sensing. 2014.


  1. http://jgs-jo.net/wp-content/uploads/2020/05/GIS-for-Disaster-Management.pdf

  2. https://opengovasia.com/philippine-initiative-utilises-gis-for-disaster-risk-reduction-and-mitigation/

  3. https://www.esri.com/en-us/industries/humanitarian/solutions/risk-reduction-prevention

  4. https://pubs.er.usgs.gov/publication/pp1395

  5. https://livingatlas.arcgis.com/esri_ngda_datasets/

  6. https://www.esri.com/content/dam/esrisites/sitecore-archive/Files/Pdfs/library/ebooks/geodesign-in-practice.pdf

  7. https://www.isprs.org/documents/centenary/booklet/Geoinformation_for_Disaster_and_Risk_Management.pdf