Web-GIS & Python for Geospatial Analysis - AulaGEO
Learn web-GIS development, data management, and geospatial analysis using open source tools and Python.
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Objective: This course aims to equip participants with the skills to develop and interact with spatial data for internet deployment using open source tools. By the end of the course, participants will be able to manage spatial data with PostgreSQL, stylize data using GeoServer, and deploy web maps using OpenLayers. Additionally, participants will gain proficiency in Python programming for geospatial analysis using ArcPy in ArcGIS Pro.
Target Audience: This course is designed for GIS professionals, developers, data scientists, and anyone interested in web-based geographic information systems (GIS). It is suitable for both beginners and those with some experience in GIS who wish to enhance their skills in using open source software and Python programming for geospatial data management and analysis.
Course Content:
Level I: Web-GIS using Open Source Software and ArcPy for ArcGIS Pro
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PostgreSQL for Data Management
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Download, installation, and configuration of PostgreSQL.
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Configuration of the spatial component (PostGIS).
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Insertion and management of spatial data.
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GeoServer for Data Stylization
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Download and installation of GeoServer.
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Creation of data stores and layers.
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Deployment and customization of styles for data visualization.
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OpenLayers for Web Deployment
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Introduction to web deployment concepts.
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Code development in an HTML page to add data layers.
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Integration of WMS services, map extension, and timeline features.
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Python Programming in ArcGIS Pro
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Introduction to ArcPy for geospatial analysis.
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Practical exercises to automate GIS tasks and enhance spatial analysis capabilities.
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Level II: Data Science – Using Python, Plotly, and Leaflet
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Data Visualization Principles
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Methodological principles of data visualization and graphic display techniques.
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Practical exercises on data extraction and deployment using Python and Plotly.
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Geospatial applications for representing geographic data using Plotly’s methods.
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Geospatial Data Representation
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Reconstruction of John Snow’s cholera research data.
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Scientific and statistical graphics and their display through animation code.
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Interactive Maps with Leaflet
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Using Leaflet code to explore and create interactive maps.
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Level III: Python Programming – Learn Easy
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Introduction to Python
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Basics of Python programming and its applications.
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Handling different types of data (geospatial, textual, relational).
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Advanced Python Techniques
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Automating tasks and saving time using Python in ArcGIS Pro.
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Tutorials for beginners to get started with Python, ArcGIS, and ArcPy.
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Practical Applications
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Interactive field examples and resources for hands-on practice.
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Step-by-step tutorials to become proficient in Python for data science.
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Methodology: The course follows the AulaGEO methodology, starting from scratch and progressing step-by-step with practical examples and real-world data. This hands-on approach ensures that participants can practice and apply the concepts learned as many times as needed to master the skills.
Join us and become proficient in web-GIS using open source tools and Python programming for geospatial analysis!
LEVEL I - GEOSERVER
LEVEL I - QGIS AND ESRI DATA IN GEOSERVER
LEVEL I - OPEN LAYERS
LEVEL I - PYTHON PROGRAMMING IN ArcGIS Pro
LEVEL II - DATA SCIENCE - USING PYTHON, PLOTLY AND LEAFLET
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15
Level I - Run python script from outside ArcGIS Pro -
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Level I - Introduction to python window
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Level I - Run buffer analysis tool
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Level I - Field management tool & Length calculation
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Level I - Use Arcpy for Get result form tool, wo…ta properties
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Level I - Import Arcpy and modules
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Level I - Describe properties of data
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Level I - Create a field list and loop through the contents
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23
Level I - Geo processing and select by location tools
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Level I - List unique values from attribute table Ordenados por nombre
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25
Level I - Map document to pdf map conversion
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26
Level I - Split Line to Multiple Parts
LEVEL II - DATA TYPES AND CHART TYPES
LEVEL II - DATA VISUALIZATION IN PLOTLY
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32
Level II - Continuos Variables and Histogram
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33
Level II - Time Series and Line Chart
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34
Level II - Categorical data and bar chart
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35
Level II - Categorical Data Type and pie chart
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36
Level II - Pair of Continous variables
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Level II - One of Continous and One Categorica
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Level II - Pair of Categorical Variable
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Level II - Practice 2
LEVEL II - FINAL PROJECT 1 (COVID VISUALIZATION IN PLOTLY)
LEVEL II - PLOTTING GEOGRAPHICAL DATA IN PLOTLY
LEVEL II - SOME ADVANCED TOPICS IN PLOTLY
LEVEL II - FINAL PROJECT 2 (JOHN´S COLERA GRAPH)
LEVELL II - SCIENTIFIC AND STATISTICAL PLOTS
LEVEL II - ANIMATION IN PLOTLY
LEVEL II - FINAL PROJECT 3 (EXPLORING INTERACTIVE MAPS USING LEAFLET)
LEVEL III - PHYTON PROGRAMMING
LEVEL III - BASIC PROGRAMMING IN PYTHON
How long do I have access to the course materials?
You can view and review the lecture materials indefinitely, like an on-demand channel.
Can I take my courses with me wherever I go?
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
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Course details
Video
17 hours
Certificate of Completion
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