[Case Tutorial] Species distribution simulation, parameter optimization method, result analysis drawing and paper writing practice technology based on R language and MaxEnt model fusion technology

[Original link]:   Species distribution simulation, parameter optimization method, result analysis and drawing and paper writing practice technology based on R language and MaxEnt model fusion technology https://mp.weixin.qq.com/s?__biz=MzU5NTkyMzcxNw==&mid =2247537049&idx=3&sn=31ef342c4808aed6fee6ac108b899a33&chksm=fe6897f3c91f1ee5c4fa8e4eeea348d13d58b8554c88812a51605d531bb635f8424cf379c9fe&token=409=

[Method]: Online + permanent review + long-term assistance in the Q&A group + a full set of courseware

[Content link]:

Topic 1, "Theoretical chapters use the method of question introduction to deeply grasp the basic principles":

• What is the MaxEnt model?
• What is the principle of the MaxEnt model? What are the uses?
• What input files are required for MaxEnt to run? Pay attention to those matters?
• What are the advantages of the MaxEnt model integrated with R language?

Topic 2. "Common Data Retrieval and R Language Automatic Download and Visualization Method":

• Commonly used data download websites (including: climate , soil, hydrology, etc., GBIF )
• Data Acquisition Method Manual Download

1. manual download
2. R language command line automatic download and visualization method

Topic 3. "R language data cleaning and feature variable screening":

• R, Rstudio installation
• Explanation of common software functions
• Principles and practical exercises of data cleaning

 (Clear the missing latitude and longitude data and duplicate data in the database)

• Feature Variable Selection and Practical Exercises Using Correlation Analysis

Topic 4. "Data Processing and Advancement Based on ArcGIS and R":

• ArcGIS installation
• ArcGIS common function explanation and practice
• Model Data Preparation Using ArcGIS
• Advanced: Data preparation based on R language

Topic 5. "Maxent-based Species Distribution Modeling and Prediction":

• Java, MaxEnt installation
• Model Interface Description
• Explanation of data input and variable setting
• Output Analysis

Topic 6. "Model Parameter Optimization Based on R Language":

• Explanation of sensitive parameters
• Parameter Optimization Principles and Practical Exercises

• model evaluation

Topic VII, "Species Distribution Model Results Analysis and Paper Writing":

• Analysis of Species Distribution Characteristics
• Analysis and mapping of the impact of environmental factors on species distribution

• Essay Writing Mapping