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

1. PostgreSQL for Data Management

2. Download, installation, and configuration of PostgreSQL.

3. Configuration of the spatial component (PostGIS).

4. Insertion and management of spatial data.

5. GeoServer for Data Stylization

6. Download and installation of GeoServer.

7. Creation of data stores and layers.

8. Deployment and customization of styles for data visualization.

9. OpenLayers for Web Deployment

10. Introduction to web deployment concepts.

11. Code development in an HTML page to add data layers.

12. Integration of WMS services, map extension, and timeline features.

13. Python Programming in ArcGIS Pro

14. Introduction to ArcPy for geospatial analysis.

15. Practical exercises to automate GIS tasks and enhance spatial analysis capabilities.

Level II: Data Science – Using Python, Plotly, and Leaflet

1. Data Visualization Principles

2. Methodological principles of data visualization and graphic display techniques.

3. Practical exercises on data extraction and deployment using Python and Plotly.

4. Geospatial applications for representing geographic data using Plotly’s methods.

5. Geospatial Data Representation

6. Reconstruction of John Snow’s cholera research data.

7. Scientific and statistical graphics and their display through animation code.

8. Interactive Maps with Leaflet

9. Using Leaflet code to explore and create interactive maps.

Level III: Python Programming – Learn Easy

1. Introduction to Python

2. Basics of Python programming and its applications.

3. Handling different types of data (geospatial, textual, relational).

4. Advanced Python Techniques

5. Automating tasks and saving time using Python in ArcGIS Pro.

6. Tutorials for beginners to get started with Python, ArcGIS, and ArcPy.

7. Practical Applications

8. Interactive field examples and resources for hands-on practice.

9. Step-by-step tutorials to become proficient in Python for data science.

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

AulaGEO Academy
Specialists in GIS – BIM – LAND and Smart process training

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