Get started with Species Distribution Modelling in Maxent
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Looking to take the next step into your ecological analysis?
Species distribution models provide insight to the relationships between species distribution and the physical/anthropogenic environment. As an ecologist today, you should start looking towards analyzing spatial relationships between species and their environment, and develop your GIS skills. The world of GIS has made ecological research even more interesting, as it expresses results and relationships in visual form.
We cannot overemphasize the importance of GIS in ecology. In this course, we focus on one of the most powerful predictive models in spatial ecology today...Maxent. The Maximum Entropy Algorithm has been borrowed from other natural sciences and adapted in a really clever way to predict suitable environmental conditions for species across large landscapes. The opinion of researchers puts this algorithm as one of the leaders in terms of predictive accuracy. It is based on Machine Learning, and capable of handling multiple species in one model run.
In this course, we dive into the basic steps required to calibrate a model in Maxent.
You will learn the following:
You will get tips on how to reduce spatial bias in models, and manipulating some of the settings that act behind the scenes to change Maxent's output.
So what are you waiting for? Sign up and get the ball rolling with Species distribution modeling using Maxent.
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Certificate of completion.
|Section 1: Course introduction|
Recommended Background Literature on MaxEnt
Download the Tutorial Data files
Species distribution models overviewPreview
Maxent and Background SamplesPreview
|Section 2: ***Get your Bonus!***|
**Claim your sign-up Bonus**
Your Special Invitation
|Section 3: Downloading and Installing MaXent|
In this lesson you will download MaxEnt into the project directory and make it ready to work.
Maxent Memory Management
|Section 4: Data Preparation|
The Case Study for this Webinar
Preparing the Species Distribution Data for Maxent
|Quiz 1||2 questions|
This quiz tests your knowledge of formatting species presence data for Maxent
Preparing the Environmental variables for Maxent
Convert environmental layers to ASCII
Preparing the bias or background layer I
Preparing the bias or background layer II
This quiz tests your knowledge of data formatting for Maxent
|Section 5: Running the MaxEnt Model|
Maxent Settings I - Interface at LaunchPreview
Maxent Settings II - Basic Settings
Maxent Settings III - Advanced Settings
Maxent Outputs and Features Notes
|Section 6: Examining the MaxEnt Results|
Results - Introduction
Assessing variable importance
|Section 7: Visualizing and presenting Maxent results in GIS|
Prepare ArcGIS Workspace
Creating the Continuous probability map
Discrete Binary Suitability Surface.
|Section 8: Closing notes|
I'm a professionally trained database developer, administrator and a Spatial Ecologist. My work experience spans multiple disciplines, including developing and maintaining databases for nonprofit organizations, performing data science tasks for research institutions, doing extensive data mining in the Oil and gas sector as well as spatial ecology. With over 10 years of experience, I currently coordinate database development for one of Canada's biggest nonprofit organizations. If you need services in oracle, PLSQL, TSQL, Python geospatial scripting or R programming, talk to me!!