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Machine Learning for Predictive Maps in Python and Leaflet

Machine Learning for Predictive Maps in Python and Leaflet
Link : Machine Learning for Predictive Maps in Python and Leaflet
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 Using the power of machine learning to build predictive map applications Welcome to the Machine Learning for Predictive Maps in Python and Leaflet course
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What you'll learn
  • Web Mapping
  • Data Transformation and Manipulation
  • Python and GeoDjango
  • Geospatial Machine Learning
  • Data Mapping and Visualization
  • Web GIS Programming
 Description

Welcome to the Machine Learning for Predictive Maps in Python and Leaflet course.

In this course we will be building a earthquake forecasting map application,

by using a variety of independent tools and then integrate them to produce a full stack web gis application.

We will be writing code in multiple programming languages, which gives us experience

with different stacks of an application and different tools.

We will be covering various topics ranging from web gis, python programming, data analysis,

machine learning and geo data visualization. All of our development will be done on windows 10.

Link :  Display and analyze GIS data on the web with Leaflet
Display and analyze GIS data on the web with Leaflet
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Client side mapping applications with the open source javascript libraries Leaflet.js and Turf.js
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Link : ArcSWAT Model with ArcGIS - Run for any Study Area - GIS
ArcSWAT Model with ArcGIS - Run for any Study Area - GIS
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Watershed Simulation using ArcSWAT. Get Discharge, Rainfall‐Runoff Modeling of Ungauged Catchments. This is advance GIS
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Link :  Species Distribution Models with GIS & Machine Learning in R
Species Distribution Models with GIS & Machine Learning in R
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Mapping Habitat Suitability for Conservation Using Machine Learning and GIS in R







Link :  GIS: Understand the Theory and Practice GIS in QGIS
GIS: Understand the Theory and Practice GIS in QGIS
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Learn the theory of Geographic Information Systems, and get trained on making maps and analyzing spatial data in QGIS.






Link :  Core Spatial Data Analysis: Introductory GIS with R and QGIS
 Core Spatial Data Analysis: Introductory GIS with R and QGIS
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Become Proficient In Spatial Data Analysis Using R & QGIS By Working On A Real Project - Get A Job In Spatial Data!
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What you'll learn
  • You will have a greater clarity of basic spatial data concepts and data types
  • Carry out practical spatial data analysis tasks in freely available software
  • Learn about the kind of questions that are answered through spatial analysis and where to obtain free spatial data.
  • Analyze spatial data using both R and QGIS
  • Process raster and vector data in both R and QGIS
  • Show off your skills & gain experience by working on a real life conservation related spatial data analysis project
  • Start analyzing spatial data for your own projects using two powerful freeware tools
  • You'll have a copy of all the data and R scripts used in the course will be provided to students for their reference and to use in their own analysis.
  • You'll also have plenty of handy hints and tips will be provided alongside the code to prevent glitches
 Description

MASTER SPATIAL DATA ANALYSIS IN R & QGIS: HANDS ON TRAINING WITH A REAL SPATIAL DATA PROJECT!

Do you find GIS & Spatial Data books & manuals too vague, expensive & not practical and looking for a course that takes you by hand, teaches you all the concepts, and get you started on a real life project?

Or perhaps you want to save time and learn how to automate some of the most common GIS tasks?

I'm very excited you found my spatial data analysis course. My course provides a foundation to carry out PRACTICAL, real-life spatial data analysis tasks in popular and FREE software frameworks.

My name is MINERVA SINGH and i am an Oxford University MPhil (Geography and Environment) graduate. I am currently pursuing a PhD at Cambridge University (Tropical Ecology and Conservation). I have several years of experience in analyzing real life spatial data from different sources and producing publications for international peer reviewed journals.

In this course, actual spatial data from the Tam Dao National Park in Vietnam will be used to give a practical hands-on experience of working with real life spatial data and understanding what kind of questions spatial data can help us answer. The underlying motivation for the course is to ensure you can put spatial data analysis into practice today. Start analyzing spatial data for your own projects, whatever your skill level and IMPRESS your potential employers with an actual example of your spatial data analysis abilities.



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