Web-GIS & Python for Geospatial Analysis – AulaGEO
Web-GIS & Python for Geospatial Analysis – AulaGEO, available at $54.99, with 92 lectures, and has 7 subscribers.
You will learn about Develop web content using open source Geoserver – instalation, configuration and interaction with open layers Introduction to Data Visualization COVID Visualization in Plotly Plotting Geographical Data in Plotly Python basics This course is ideal for individuals who are GIS users or developers interested in data analysis or Basic to Intermediate Python Skills or Those who are curious about programming and would like to get started It is particularly useful for GIS users or developers interested in data analysis or Basic to Intermediate Python Skills or Those who are curious about programming and would like to get started.
Enroll now: Web-GIS & Python for Geospatial Analysis – AulaGEO
Summary
Title: Web-GIS & Python for Geospatial Analysis – AulaGEO
Price: $54.99
Number of Lectures: 92
Number of Published Lectures: 92
Number of Curriculum Items: 92
Number of Published Curriculum Objects: 92
Original Price: $109.99
Quality Status: approved
Status: Live
What You Will Learn
- Develop web content using open source
- Geoserver – instalation, configuration and interaction with open layers
- Introduction to Data Visualization
- COVID Visualization in Plotly
- Plotting Geographical Data in Plotly
- Python basics
Who Should Attend
- GIS users
- developers interested in data analysis
- Basic to Intermediate Python Skills
- Those who are curious about programming and would like to get started
Target Audiences
- GIS users
- developers interested in data analysis
- Basic to Intermediate Python Skills
- Those who are curious about programming and would like to get started
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!
Course Curriculum
Chapter 1: LEVEL I – PostgreSQL – PostGIS
Lecture 1: Level I – Downloading and Installing PostGIS
Lecture 2: Level I – Creating Database in PostgreSQL
Lecture 3: Level I – Adding GIS data in PostgreSQL
Chapter 2: LEVEL I – GEOSERVER
Lecture 1: Level I – Download And Install GeoServer
Lecture 2: Level I – Creating Workspace and Store in GeoServer
Lecture 3: Level I – Adding Style to Shapelife
Chapter 3: LEVEL I – QGIS AND ESRI DATA IN GEOSERVER
Lecture 1: Level I – Adding data from ESRI to GeoServer
Lecture 2: Level I – Adding and preparing style data from QGIS
Chapter 4: LEVEL I – OPEN LAYERS
Lecture 1: Level I – Publishing GIS layers from GeoServer
Lecture 2: Level I – Displaying map using OpenLayers
Lecture 3: Level I – Adding GeoServer Layer to OpenLayers
Lecture 4: Level I – Adding Map Rotation
Lecture 5: Level I – Adding code for Default extent
Lecture 6: Level I – Adding Scale line to map
Chapter 5: LEVEL I – PYTHON PROGRAMMING IN ArcGIS Pro
Lecture 1: Level I – Run python script from outside ArcGIS Pro
Lecture 2: Level I – Introduction to python window
Lecture 3: Level I – Run buffer analysis tool
Lecture 4: Level I – Field management tool & Length calculation
Lecture 5: Level I – Use Arcpy for Get result form tool, wo…ta properties
Lecture 6: Level I – Import Arcpy and modules
Lecture 7: Level I – Describe properties of data
Lecture 8: Level I – Create a field list and loop through the contents
Lecture 9: Level I – Geo processing and select by location tools
Lecture 10: Level I – List unique values from attribute table Ordenados por nombre
Lecture 11: Level I – Map document to pdf map conversion
Lecture 12: Level I – Split Line to Multiple Parts
Chapter 6: LEVEL II – DATA SCIENCE – USING PYTHON, PLOTLY AND LEAFLET
Lecture 1: Level II – Introduction to data visualization
Lecture 2: Level II – Why bother about it
Lecture 3: Level II – Objectives of Data Visualization
Lecture 4: Level II – Theory of Data Vis
Lecture 5: Level II – Practice 1
Chapter 7: LEVEL II – DATA TYPES AND CHART TYPES
Lecture 1: Level II – Continuos Variables and Histogram
Lecture 2: Level II – Time Series and Line Chart
Lecture 3: Level II – Categorical data and bar chart
Lecture 4: Level II – Categorical Data Type and pie chart
Lecture 5: Level II – Pair of Continous variables
Lecture 6: Level II – One of Continous and One Categorica
Lecture 7: Level II – Pair of Categorical Variable
Lecture 8: Level II – Practice 2
Chapter 8: LEVEL II – DATA VISUALIZATION IN PLOTLY
Lecture 1: Level II – Fundamentals of Plotly
Lecture 2: Level II – Plotly and Express submodule
Lecture 3: Level II – Updating and Customizing Layout
Lecture 4: Level II – Practice 3
Chapter 9: LEVEL II – FINAL PROJECT 1 (COVID VISUALIZATION IN PLOTLY)
Lecture 1: Level II – Project 1
Chapter 10: LEVEL II – PLOTTING GEOGRAPHICAL DATA IN PLOTLY
Lecture 1: Level II – Choropleth Maps
Lecture 2: Level II – Line on Maps
Lecture 3: Level II – Filled and Point areas
Lecture 4: Level II – Maps with Bubbles
Lecture 5: Level II – Maps with Heatmap
Lecture 6: Mini Project
Chapter 11: LEVEL II – SOME ADVANCED TOPICS IN PLOTLY
Lecture 1: Level II – Financial Charts
Lecture 2: Level II – Three D plots in Ploty
Lecture 3: Level II – Subplots in Ploty
Lecture 4: Level II – Practice 4
Chapter 12: LEVEL II – FINAL PROJECT 2 (JOHN´S COLERA GRAPH)
Lecture 1: Project Cholera Ghost Map
Chapter 13: LEVELL II – SCIENTIFIC AND STATISTICAL PLOTS
Lecture 1: Level II – Contour Plots
Lecture 2: Level II – Image In Plotly
Lecture 3: Level II – Heat Map
Lecture 4: Level II – Ternary Plots
Lecture 5: Level II – Log Plots
Lecture 6: Level II – Statistical Plots
Chapter 14: LEVEL II – ANIMATION IN PLOTLY
Lecture 1: Level II – Animation Using Plotly
Lecture 2: Level II – Frames and Graph Objects
Lecture 3: Level II – Line Chart Race Project
Chapter 15: LEVEL II – FINAL PROJECT 3 (EXPLORING INTERACTIVE MAPS USING LEAFLET)
Lecture 1: Level II – Final Project on Chipotle
Chapter 16: LEVEL III – PHYTON PROGRAMMING
Lecture 1: Level III – Introduction to Programming
Lecture 2: Level III – What is Python and why
Lecture 3: Level III – Installation of Python
Lecture 4: Level III – Difference between Shell and sctipt
Lecture 5: Level III – Practice 5
Chapter 17: LEVEL III – BASIC PROGRAMMING IN PYTHON
Lecture 1: Level III – Phyton as a calculator
Lecture 2: Level III – Variables in Python
Lecture 3: Level III – Data types in Python
Lecture 4: Level III – Inbuilt functions in Phyton
Lecture 5: Level III – Advanced Printing
Lecture 6: Level III – Taking input from the user
Lecture 7: Level III – Practice 6
Chapter 18: LEVEL III – SOME ADVANCED DATA TYPES IN PYTHON
Lecture 1: Level III – Storing many items (List)
Lecture 2: Level III – Storing many items (Tuple)
Lecture 3: Level III – Storing many items (Set)
Lecture 4: Level III – Storing key and value pairs (Dictionary)
Lecture 5: Level III – Practice 7
Instructors
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AulaGEO Academy
Specialists in GIS – BIM – LAND and Smart process training
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