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Author: ecoisilva

404.html

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+Content not found. Please use links in the navbar.
+
+# Page not found (404)

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+# Articles
+
+### Study design
+
+- [movedesign](https://ecoisilva.github.io/movedesign/articles/movedesign.md):
+
+- [Walkthrough (single
+  estimate)](https://ecoisilva.github.io/movedesign/articles/tutorial_ind.md):
+
+  How to design an animal tracking project with ‘movedesign’
+
+- [Walkthrough
+  (population-level)](https://ecoisilva.github.io/movedesign/articles/tutorial_pop.md):
+
+  How to design an animal tracking project with ‘movedesign’ (for
+  population-level inferences)
+
+### Installation issues
+
+- [Issues](https://ecoisilva.github.io/movedesign/articles/issues.md):
+
+  Common installation issues

LICENSE.html

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+# Issues
+
+## Resolving installation issues
+
+### Check package dependencies:
+
+The `movedesign` package requires many non-default `R` packages. If you
+are met with errors during installation/updates, try restarting your `R`
+session (in the `RStudio` menu bar, this is `Session` \> `Restart R`; or
+close and re-open `R`). Then, reinstall the package using:
+
+``` r
+remotes::install_github("ecoisilva/movedesign", dependencies = TRUE) 
+```
+
+You may also need to explicitly install the `fontawesome` package:
+
+``` r
+install.packages("fontawesome")
+```
+
+### Resolving “failed to install ‘unknown package’ from GitHub”:
+
+If you see this error when installing from GitHub, follow these steps:
+
+**Step 1:** Generate a GitHub personal access token with the following
+command in the RStudio or `R` console:
+
+``` r
+usethis::create_github_token()
+```
+
+This will take you to GitHub to generate a token. Configure the token
+(or just scroll down and generate it using the default settings) and
+copy it to your clipboard (it is a string of letters and numbers).
+
+**Step 2:** Save the personal access token in your R environment. Back
+in `R`, enter:
+
+``` r
+usethis::edit_r_environ()
+```
+
+This will open the `.Renviron` file in a new RStudio window. Add the
+following line to the file:
+
+    GITHUB_PAT="GITHUB_PERSONAL_ACCESS_TOKEN"
+
+Replace `GITHUB_PERSONAL_ACCESS_TOKEN` with the token you just copied
+from GitHub.
+
+**Step 3:** Save this file, close it, and restart `R`. After that, you
+should be able to install `movedesign` through the usual command:
+
+``` r
+remotes::install_github("ecoisilva/movedesign", dependencies = TRUE) 
+```
+
+------------------------------------------------------------------------
+
+If you encounter any other issues, please contact [Inês
+Silva](mailto:i.simoes-silva@hzdr.de?subject=%5Bmovedesign%5D) for
+assistance.

LICENSE.md

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+# movedesign
+
+## Why `movedesign`?
+
+`movedesign` is built using R language with Shiny for an easy-to-use
+user interface (GUI). This application will allow you to test different
+tracking schedules while considering an initially set research question
+(currently *home range* and *speed/distance* estimation).
+
+- Doesn’t require R coding experience.
+- Leverages the `ctmm` R package for statistically unbiased methods.
+
+## How to start:
+
+The application includes a built-in guided tutorial to help you navigate
+its features. When you open the `'Home'` tab, you’ll find the following:
+
+![](images/tutorial1_img1.png)
+
+This step-by-step guide will walk you through the app, ensuring you
+understand its features and functionality. When an action is required,
+it will be clearly highlighted. Please follow these instructions
+carefully, as each step builds on the previous one. If no action is
+needed, simply continue to the next step by clicking `'Next'` or
+pressing the right arrow key on your keyboard. The information from the
+guided tour is also partially available below.
+
+![](data:image/svg+xml;base64,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)Warning:
+During the guided tutorial, refrain from interacting with anything
+outside the highlighted zones to avoid interruptions.
+
+This tutorial provides an overview of key features but does not cover
+detailed definitions. For more in-depth explanations, you can access
+comprehensive
+![](data:image/svg+xml;base64,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)**help
+tips** at any time. Documentation is also available on Silva *et al.*
+([2023](#ref-silva2023movedesign)).
+
+### Workflows
+
+These are the current options for `movedesign` workflows. Users may
+configure their study design by selecting different options for data
+source, research target, and analytical target. All workflows follow a
+stepwise approach, with tabs displayed sequentially on the right
+sidebar. Irrelevant tabs for the current workflow will be automatically
+hidden.
+
+**Step 1.** *Data source:*
+
+Users can specify what is their data source:
+
+`Upload`: Import a dataset from a local file.
+
+`Select`: Choose from pre-existing datasets available in the
+application.
+
+`Simulate`: Generate synthetic data for testing or modeling purposes.
+
+**Step 2.** *Research target:*
+
+Users can define their research targets:
+
+`Home range`: Estimate long-term space-use requirements.
+
+`Speed & distance`: Estimate fine-scale movement metrics, such as speed
+and distance traveled.
+
+**Step 3.** *Analytical target:*
+
+Users can decide on their analytical target for the estimates:
+
+`Individual estimate`: Obtain metrics for a single individual.
+
+`Mean estimate of sampled population`: Obtain a mean estimate across a
+sampled group.
+
+`Compare estimates of two sampled groups`: Perform a comparative
+analysis between two groups within a tracked population (for the
+detection of sub-groups).
+
+Additionally, users have the option to:
+
+`Add individual variation`: Include variation among individuals during
+simulations (only available for mean and estimate comparisons).
+
+Go
+[here](https://ecoisilva.github.io/movedesign/articles/tutorial_ind.html)
+for more detailed information regarding the `Individual estimate`
+workflow.
+
+### Related work
+
+- The [ctmm](https://github.com/ctmm-initiative/ctmm) R package and
+  [ctmmweb](https://github.com/ctmm-initiative/ctmmweb) Shiny
+  application.
+
+### References
+
+Silva, I., Fleming, C. H., Noonan, M. J., Fagan, W. F., & Calabrese, J.
+M. (2023). Movedesign: Shiny r app to evaluate sampling design for
+animal movement studies. *Methods in Ecology and Evolution*, *14*(9),
+2216–2225. <https://doi.org/10.1111/2041-210X.14153>