Automating of ArcGIS Workflows
Course description sheet
Basic information
- Field of study
- Geodesy, Surveying and Cartography
- Major
- -
- Organisational unit
- Faculty of Geo-Data Science, Geodesy, and Environmental Engineering
- Study level
- First-cycle (engineer) programme
- Form of study
- Full-time studies
- Profile
- General academic
- Didactic cycle
- 2023/2024
- Course code
- DGIKS.Ii20.03460.23
- Lecture languages
- English
- Mandatoriness
- Elective
- Block
- Elective Modules in Foreign Language
- Course related to scientific research
- Yes
Lecturer
Wojciech Drzewiecki, Mariusz Twardowski
|
Period
Semester 6
|
Method of verification of the learning outcomes
Completing the classes
Activities and hours
Lectures:
15
Project classes: 30 |
Number of ECTS credits
4
|
Course's learning outcomes
| Code | Outcomes in terms of | Learning outcomes prescribed to a field of study | Methods of verification |
| Knowledge – Student knows and understands: | |||
| W1 | podstawy języka programowania Python | GIK1A_W05 | Execution of a project |
| W2 | możliwości automatyzacji procesów analitycznych w oprogramowaniu ArcGIS | GIK1A_W08 | Execution of a project |
| Skills – Student can: | |||
| U1 | tworzyć, uruchamiać i dokumentować zaawansowane modele analityczne w aplikacji ArcGIS Model Builder | GIK1A_U02, GIK1A_U06, GIK1A_U08 | Execution of exercises, Execution of a project |
| U2 | analizować, tworzyć i wykorzystywać w oprogramowaniu ArcGIS proste skrypty w języku Python | GIK1A_U06, GIK1A_U08 | Execution of exercises, Execution of a project |
| U3 | uruchamiać narzędzia ArcGIS w trybie batchowym | GIK1A_U06 | Execution of exercises |
| Social competences – Student is ready to: | |||
| K1 | odpowiedzialnego wykorzystywania w praktyce tworzonych modeli zjawisk przestrzennych przy jednoczesnej świadomości ich możliwości i ograniczeń | GIK1A_K02 | Execution of a project |
Program content ensuring the achievement of the learning outcomes prescribed to the module
W ramach zajęć student pozna możliwości wykorzystania aplikacji Model Builder do automatyzacji procesów analitycznych w oprogramowaniu ArcGIS oraz podstawy języka Python i jego zastosowań w ArcGIS.
Student workload
| Activity form | Average amount of hours* needed to complete each activity form | |
| Lectures | 15 | |
| Project classes | 30 | |
| Realization of independently performed tasks | 30 | |
| Contact hours | 5 | |
| Preparation of project, presentation, essay, report | 22 | |
| Student workload |
Hours
102
|
|
| Workload involving teacher |
Hours
45
|
|
* hour means 45 minutes
Program content
| No. | Program content | Course's learning outcomes | Activities |
| 1. |
Overview of ArcGIS workflows automating possibilities (batch processing, models and toolsets, Python scripts). Introduction to Model Builder. Basics of model building. Setting up interactive models. Establishing flow of control. Introduction to Python Interpreter basics. Other programming languages comparison. Variable assingment, mathematical and logical operators. Base data types and their representation. Keywords and complex structures. Mutable objects. Scripts and program flow control. Correct script formatting. Conditional structures, loops and function definitions. Difference between interpreter and compiler. Exception handling. Input/output procedures. Introduction to object oriented programming in Python. Class, object and method construction, inheritance and polymorphism. Script modularisation methods and library import. Standard libraries and most important elements. The ArcPy Python module. Python scripts in ArcGIS. Advanced modeling techniques in Model Builder. Batch processing. Model iterations. Structured looping. Building model documentation. |
W1, W2, U2 | Lectures |
| 2. |
Introduction to Model Builder. Setting up interactive models. Establishing flow control - defining preconditions, using if-elif-else statements. Introduction to Python. Scripts and program flow control. Script autohing tools. Error correction and interpretation. Conditionals, loops and exception handling. Introduction to ArcPy, creating a basic Python scripts for ArcGIS. Sharing models and toolboxes. Validating a model, exporting to a Python script. Batch processing. Model iterations. Model documentation. |
W1, W2, U1, U2, U3, K1 | Project classes |
Extended information/Additional elements
Teaching methods and techniques :
Lectures
| Activities | Methods of verification | Credit conditions |
|---|---|---|
| Lectures | Execution of exercises, Execution of a project | |
| Project classes | Execution of exercises, Execution of a project |
Method of determining the final grade
Evaluation of student activity during classes and student project. The final grade is calculated as a weighted average of grades. The algorithm for calculating the final assessment is given to students during first meeting.
Prerequisites and additional requirements
Prerequisites: Basic knowledge of ArcGIS software. Basic knowledge of English language.
During the first meeting the teatcher will present:
- the acceptable number of students absences in the class and the method and manner of compensating for the backlog caused by absence;
- the rules for obtaining credits within basic term.
Before the end of the semester the teatcher will decide the rules and deadlines for resit. A student may proceed to a resit twice.
Rules of participation in given classes, indicating whether student presence at the lecture is obligatory
Lectures: Studenci uczestniczą w zajęciach poznając kolejne treści nauczania zgodnie z syllabusem przedmiotu. Studenci winni na bieżąco zadawać pytania i wyjaśniać wątpliwości. Rejestracja audiowizualna wykładu wymaga zgody prowadzącego. Project classes: Studenci wykonują prace praktyczne mające na celu uzyskanie kompetencji zakładanych przez syllabus. Ocenie podlega sposób wykonania projektu oraz efekt końcowy.
Literature
Obligatory- 1. Allen David W.: Getting to Know ArcGIS ModelBuilder. ESRI Press 2011.
- 2. Zandbergen Paul A.: Python Scripting for ArcGIS. ESRI Press 2014.
- 3. Allen David W.: GIS Tutorial for Python Scripting. ESRI Press 2014.
Scientific research and publications
Publications- Drzewiecki W., Jenerowicz M., Aleksandrowicz S., Krupiński M., 2012: Modelowanie przestrzenne potencjalnych dróg przenikania granicy lądowej przez nielegalnych imigrantów. Roczniki Geomatyki, Tom X, Zeszyt 4 (54), 49-64
- Drzewiecki W., Wężyk P., Pierzchalski M., Szafrańska B., 2014: Quantitative and Qualitative Assessment of Soil Erosion Risk in Małopolska (Poland), Supported by an Object-Based Analysis of High-Resolution Satellite Images. Pure and Applied Geophysics, Vol. 171, Issue 6, pp. 867-895