Advanced geo-processing [ LGEO2185 ]

A range of support materials will be made available:

• Cours notes (slides)
• Textbooks/online resources
  • Using Pyhton in ArcGIS Desktop virtual course: > https://training.esri.com/acb2000/showdetl.cfm?DID=6&Product_ID=971
  • Python Scripting for ArcGIS by Paul A. Zandbergen. 2012.
  • Tbs..
• For the hands-on exercises, the required data and modeling tools and guidance notes will be made available on iCampus

GEO1342 - Geographical Information Systems or similar.

The main objectives of this course are:

• To develop a coherent strategy to asses and solve spatial problems
• To provide a solid foundation for programmatically interacting with GIS platforms
• To provide the most up-to-date tools and information necessary for building and implementing customized geo-processing tools
• To introduce and apply the basic concepts of web mapping services.

Practical/Knowledge skills:

• An ability to perform object-oriented programming tasks
• An ability to program GIS-based models in Python
• An understanding of software engineering concepts and good programming methods
• An awareness of the diversity of approaches in the field of web-based mapping.

Personal skills:

• An aptitude for analytical assessment of spatial problems
• An ability to conceptualize, plan, implement and communicate the results of a GIS-based model.

At the end of this course, the student should be able:

• To perform object-oriented programming tasks
• To program GIS-based models
• To develop and implement a web-based map service

The student should expect this class to be both academically robust and intellectually challenging. The main theoretical concepts will be provided through course notes and presentations. Learning will arise from active engagement with this knowledge during the hands-on practical exercises. A final project aims at integrating the course material in a personalized way.

In the Final Projects the student will:

1.             Frame a spatial question or application scenario that can be solved using a customized GIS application or geo-processing function.

2.             Collect appropriate spatial and non-spatial data to be used as input.

3.             Determine the technologies/tools to be used.

4.             Establish the important intermediate steps in programming and implementation, including testing/debugging.

5.             Produce a working application that implements your approach

The course is organized around three modules:

i)               Lectures: During the lectures, the basic and theoretical concepts and background of GIS programming will be introduced.

ii)              Hands-on practical exercises: Assignments will give students an opportunity to internalize and apply the concepts and theory learned.

iii)            Final project. This project presents an opportunity to integrate the course content and consists of a proposal, a final report and presentation.

1.     Introduction to GIS modeling and Python language.

a.     The need for GIS automation

b.     Python introduction

c.     Objects and object-oriented programming

d.     Examples & Exercise

2.     Python and programming basics

a.     Program structures

b.     Troubleshooting

c.     Examples & Exercise

3.     Spatial data access and manipulation

4.     Programming languages for GIS development

5.     Customized GIS application development

6.     Web map Services