in_G364_Project_FINALRUBRIC.Rmd

---
title: "GEOG 364 Project Final rubric"
author: "Dr Greatrex"
date: "`r Sys.Date()`"
---

# Project Rubric

This rubric gets updated each time to include what an A\* report will
include. See if your report has everything.

See if you have gotten everything so far:

# [**Formats**]{.underline}

#### By the end of project 2, an A\* report should have completed/included these things.

-   You are using a professional format

-   You have 'hidden' the output of your library code chunk.

-   **A\* option.** You are also welcome to hide large code chunks, for
    example by using 'include=FALSE' as a code chunk option, or code
    folding in your yaml if your template allows it (some don't).
    (<https://bookdown.org/yihui/rmarkdown-cookbook/fold-show.html>)

-   You have an author addition to your YAML code. See here for how to
    do it -
    <https://zsmith27.github.io/rmarkdown_crash-course/lesson-4-yaml-headers.html>

-   You have a table of contents. If you are using a prettydocs format,
    you cannot make it 'float' (that's OK). But google the name of your
    template and table of contents. Or R YAML code floating table of
    contents.

-   You have used headers and sub-headers to allow the reader to
    navigate through the document. You can do this in view by selecting
    the text and clicking the arrow next to "Normal". If you are in
    source mode, see here
    <https://ucsbcarpentry.github.io/R-markdown/03-headings-lists/index.html>

-   You have LOOKED at your final knitted file and made sure its how you
    expect.

-   You have spell checked your work. (spell check is next to the knit
    button - it's a bit rubbish in that it will also flag things like
    web addresses, but it does the job)

# [**Written content**]{.underline}

#### By the end of project 2, an A\* report should have completed/included these things.

-   You have written your report for a specific person/organisation (see
    project 2). Read your text as though you were that person. Does it
    make sense? Do you need to add in more background information?

    -   Alternatively, imagine a future employer asks for a sample of
        your data analysis and you have to send them this document
        without being around to explain it. Have you introduced your
        topic in clear language? Included diagrams or pictures? See my
        worked example at the top for what I mean

-   You have FULLY described your dataset. Where it came from, how it
    was collected,

-   You have a BULLET POINT LIST of each column, what it means and the
    units it is in (see my worked example)

-   You have talked about any limitations of this data for that
    particular user. e.g. if it was collected in 2018, it won't include
    the impacts of COVID.. or maybe one of the fallacies will be an
    issue.

-   You have discussed all the data wrangling and quality control that
    you did (consider putting this as a sub-header to make it easy to
    find)

-   You have eloquently described your initial analysis in a way that is
    useful to YOUR SPECIFIC READER. For example, maybe they might care
    about what types of sharks there are, or how many in each state, or
    that there are "less points in the west.." . E.g. there should be a
    clear thread through the narrative

# [**R code**]{.underline}

#### By the end of project 2, an A\* report should have completed/included these things.

-   You have read in your data

-   You have conducted initial quality control and data wrangling. E.g.
    removed missing values, filtered your data to a smaller area that
    makes more sense for your project (or to do point pattern analysis
    on).

-   Your plots are self sufficient (e.g. you have good formatting, axis
    names etc)

-   You have conducted initial exploratory analysis

-   You have made an sf version of your data

-   You have chosen an appropriate map projection in metres (almost
    certainly UTM for your location), converted your data and explained
    to the reader what you did.

-   You have made some initial maps of your data and explained them.

-   A\* option. See the plotly library or
    <https://r-graph-gallery.com/interactive-charts.html> and make some
    of your charts interactive!