Difference between revisions of "Main Page"

Latest revision as of 14:28, 2 April 2024

Welcome to the Sustainability Methods Wiki!

The aim of this Wiki is to present and explain fundamental methods, terms and tools relevant to (Sustainability) Science and discuss underlying questions. The Wiki is composed of several sub-wikis:

Courses

This section revolves around curated selections of Wiki entries (and more) as introductions to specific topics.

Methods

Methods are at the heart of scientific research. Learn about the most important methods in Sustainability Science - and beyond.

Hacks, Habits & Tools

Every type of work can be facilitated through appropriate Hacks, Habits & Tools. Dive in and learn something new!

Normativity of Methods

The choice of methods influences the knowledge we produce. Here you can learn more about this relation.

First time visitor?

Please watch this short introduction to the Wiki.

Have a look at the About page. Here, you will find more information on what the Wiki is all about. It also contains a FAQ section with answers to some general questions concerning the Wiki, and a contact mail in case you would like to provide feedback or ask further questions.

Now you can get started! Pick a section above and choose one or more entries to learn about.

If you do not know which methods to start with, have a look at the Method Recommendation Tool!

You can also generate a random entry on top of the page or read one of the 5 newest Wiki entries:

@@ Line 1: / Line 1: @@
-== Welcome to Sustainability Methods! ==
+__NOTITLE__
+== Welcome to the ''Sustainability Methods Wiki!'' ==
+The aim of this Wiki is to present and explain fundamental methods, terms and tools relevant to (Sustainability) Science and discuss underlying questions. The Wiki is composed of several sub-wikis:
-=== Day 1 - Intro ===
+{{ContentGrid
-# Do models and statistics matter?
+|content =
-# Why does it pay to be literate in statistics and R?
+<!--
-# Getting concepts clear: Generalisation, Sample, and Bias
+nowiki markers are added so the first bullet in the list are rendered correctly!
-# History of statistics
+please don't remove those markers, thank you
+-->
-=== Day 2 - Data formats based on R ===
+{{InfoCard
-# Continuous vs. categorical, and subsets
+|heading = [[Courses]] | class = center |
-# Normal distribution
+|content =
-# Poisson, binomial, Pareto
+<nowiki></nowiki>
+This section revolves around '''curated selections of Wiki entries (and more)''' as introductions to specific topics.
+}}
-=== Day 3 - Simple tests ===
+{{InfoCard
-# Parametric
+|heading = [[Methods]] | class = center |
-# Non-Parametric
+|content =
-# Hypothesis testing
+<nowiki></nowiki>
+Methods are at the heart of scientific research. '''Learn about the most important methods in Sustainability Science - and beyond.'''
+}}
-=== Day 4 - Correlation and regression ===
-# What can be correlated?
-# Are all correlations causal?
-# Is the world linear?
-# Transformation
-=== Day 5 - Correlation and regression ===
+}}
-# P values vs. sample size
-# Residuals
-# Reading correlation plots
-=== Day 6 - Designing studies ===
+{{ContentGrid
-# How do I compare more than two groups groups?
+|content =
-# Designing experiments - degrees of freedom
+<!--
-# One way and two way
+nowiki markers are added so the first bullet in the list are rendered correctly!
+please don't remove those markers, thank you
+-->
-=== Day 7 - Designing studies ===
+{{InfoCard
-# Balanced vs. unbalanced - Welcome to the Jungle
+|heading = [[Hacks, Habits & Tools]] | class = center |
-# Block effects
+|content =
-# Interaction and reduction
+<nowiki></nowiki>
+Every type of work can be facilitated through appropriate Hacks, Habits & Tools. '''Dive in and learn something new!'''
+}}
-=== Day 8 - Types of experiments ===
+{{InfoCard
-# Are all laboratory experiment really made in labs?
+|heading = [[Normativity of Methods]] | class = center |
-# Are all field experiment really made in fields?
+|content =
-# What are natural experiments?
+<nowiki></nowiki>
+The choice of methods influences the knowledge we produce. '''Here you can learn more about this relation.'''
+}}
-=== Day 9 - Statistics from the Faculty ===
+}}
-=== Day 10 - Statistics down the road ===
+== First time visitor? ==
-# Multivariate Statistics
+'''Please watch this short introduction to the Wiki.'''
-# AIC
+{{#evu:https://www.youtube.com/watch?v=MjlJTjzLg6M
+|alignment=center
+}}
+<br/>
+* Have a look at the '''[[Sustainability_Methods:About|About]] page.''' Here, you will find more information on what the Wiki is all about. It also contains a FAQ section with answers to some general questions concerning the Wiki, and a contact mail in case you would like to provide feedback or ask further questions.
-=== Day 11 - The big recap ===
+* Now you can get started! '''Pick a section above''' and choose one or more entries to learn about. <br/>
-# Distribution & simple test
-# Correlation and regression
-# Anova
-=== Day 12 - models ===
+* If you do not know which methods to start with, have a look at the '''[https://sustainabilitymethods.org/method_recommendation_tool Method Recommendation Tool]'''!
-# Are models wrong?
-# Are models causal?
-# Are models useful?
-=== Day 13 - Ethics and norms of statistics ===
+* You can also generate a random entry on top of the page or read one of the 5 newest Wiki entries:
-# What is informed consent?
+{{Special:NewestPages/-/5}}
-# How does a board of ethics work?
-# How long do you store data?
+__NOTOC__
-View [https://sustainabilitymethods.org/index.php/Special:AllPages All Pages].
-== Getting started ==
-* [https://www.mediawiki.org/wiki/Special:MyLanguage/Manual:Configuration_settings Configuration settings list]
-* [https://www.mediawiki.org/wiki/Special:MyLanguage/Manual:FAQ MediaWiki FAQ]
-* [https://lists.wikimedia.org/mailman/listinfo/mediawiki-announce MediaWiki release mailing list]
-* [https://www.mediawiki.org/wiki/Special:MyLanguage/Localisation#Translation_resources Localise MediaWiki for your language]
-* [https://www.mediawiki.org/wiki/Special:MyLanguage/Manual:Combating_spam Learn how to combat spam on your wiki]