From b228b533b027c7d19c78e8b77c99015d18421886 Mon Sep 17 00:00:00 2001 From: fcorowe Date: Fri, 23 Feb 2024 07:20:01 +0000 Subject: [PATCH] update chp1 --- 01-overview.qmd | 5 +- docs/01-overview.html | 107 ++++++++++-------- docs/03-data-wrangling.html | 4 +- .../figure-html/unnamed-chunk-17-1.png | Bin 84053 -> 83628 bytes .../figure-html/unnamed-chunk-18-1.png | Bin 95542 -> 95739 bytes .../figure-html/unnamed-chunk-22-1.png | Bin 96559 -> 96634 bytes docs/07-multilevel-01.html | 48 ++++---- .../figure-html/unnamed-chunk-21-1.png | Bin 109791 -> 109671 bytes .../figure-html/unnamed-chunk-24-1.png | Bin 169975 -> 169769 bytes docs/08-multilevel-02.html | 6 +- .../figure-html/unnamed-chunk-11-1.png | Bin 172131 -> 172105 bytes .../figure-html/unnamed-chunk-9-1.png | Bin 135339 -> 132805 bytes docs/index.html | 4 +- docs/search.json | 6 +- docs/sitemap.xml | 2 +- 15 files changed, 101 insertions(+), 81 deletions(-) diff --git a/01-overview.qmd b/01-overview.qmd index 4797b50..9e2b79c 100644 --- a/01-overview.qmd +++ b/01-overview.qmd @@ -150,11 +150,14 @@ invisible(lapply(packages, library, character.only = TRUE)) ::: column-margin ::: callout-note + To install the library `basemapR`, you need to install from source by running: `library(devtools)` `install_github('Chrisjb/basemapR')` -::: ::: column-margin + +::: +::: ## Assessment diff --git a/docs/01-overview.html b/docs/01-overview.html index 181aa59..bf8093d 100644 --- a/docs/01-overview.html +++ b/docs/01-overview.html @@ -98,7 +98,7 @@ } } - +
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1  Overview

@@ -281,7 +281,7 @@
  • Formal assessment of two computational essays. Written assignment-specific feedback will be provided within three working weeks of the submission deadline. Comments will offer an understanding of the mark awarded and identify areas which can be considered for improvement in future assignments.

  • Verbal face-to-face feedback. Immediate face-to-face feedback will be provided during lecture, discussion and clinic sessions in interaction with staff. This will take place in all live sessions during the semester.

  • Online forum. Asynchronous written feedback will be provided via an online forum maintained by the module lead. Students are encouraged to contribute by asking and answering questions relating to the module content. Staff will monitor the forum Monday to Friday 9am-5pm, but it will be open to students to make contributions at all times.

  • -

    +

    1.4 Computational Environment

    To reproduce the code in the book, you need the following software packages:

    -

    +

    1.4.1 Dependency list

    The list of libraries used in this book is provided below:

      @@ -394,9 +394,23 @@ # packages loading invisible(lapply(packages, library, character.only = TRUE))

    -

    ::: column-margin ::: callout-note To install the library basemapR, you need to install from source by running:

    -

    library(devtools) install_github('Chrisjb/basemapR') ::: ::: column-margin

    -

    + +
    +
    +
    +
    + +
    +
    +Note +
    +
    +
    +

    To install the library basemapR, you need to install from source by running:

    +

    library(devtools) install_github('Chrisjb/basemapR')

    +
    +
    +

    1.5 Assessment

    The final module mark is composed of the two computational essays. Together they are designed to cover the materials introduced in the entirety of content covered during the semester. A computational essay is an essay whose narrative is supported by code and computational results that are included in the essay itself. Each teaching week, you will be required to address a set of questions relating to the module content covered in that week, and to use the material that you will produce for this purpose to build your computational essay.

    Assignment 1 (50%) refer to the set of questions at the end of Chapter 4, Chapter 5 and Chapter 6. You are required to use your responses to build your computational essay. Each chapter provides more specific guidance of the tasks and discussion that you are required to consider in your assignment.

    @@ -1035,45 +1049,48 @@ ::: column-margin ::: callout-note -To install the library `basemapR`, you need to install from source by running: - -`library(devtools)` -`install_github('Chrisjb/basemapR')` -::: ::: column-margin + +To install the library `basemapR`, you need to install from source by running: + +`library(devtools)` +`install_github('Chrisjb/basemapR')` -## Assessment - -The final module mark is composed of the *two computational essays*. Together they are designed to cover the materials introduced in the entirety of content covered during the semester. A computational essay is an essay whose narrative is supported by code and computational results that are included in the essay itself. Each teaching week, you will be required to address a set of questions relating to the module content covered in that week, and to use the material that you will produce for this purpose to build your computational essay. - -**Assignment 1 (50%)** refer to the set of questions at the end of @sec-chp4, @sec-chp5 and @sec-chp6. You are required to use your responses to build your computational essay. Each chapter provides more specific guidance of the tasks and discussion that you are required to consider in your assignment. - -**Assignment 2 (50%)** refer to the set of questions at the end of @sec-chp7, @sec-chp8, @sec-chp9 and @sec-chp10. You are required to use your responses to build your computational essay. Each chapter provides more specific guidance of the tasks and discussion that you are required to consider in your assignment. - -### Format Requirements - -Both assignments will have the same requirements: - -- Maximum word count: 2,000 words, excluding figures and references. -- Up to three maps, plot or figures (a figure may include more than one map and/or plot and will only count as one but needs to be integrated in the figure) -- Up to two tables. - -Assignments need to be prepared in "*Quarto Document*" format (i.e. qmd extension) and then converted into a self-contained HTML file that will then be submitted via Turnitin. The document should only display content that will be assessed. Intermediate steps do not need to be displayed. Messages resulting from loading packages, attaching data frames, or similar messages do not need to be included as output code. Useful resources to customise your R notebook can be found on [Quarto's website](https://quarto.org/docs/guide/). - -Two Quarto Document templates will be available via [the module Canvas site](https://canvas.liverpool.ac.uk/courses/60454). - -Submission is electronic only via Turnitin on Canvas. - -### Marking criteria - -The Standard Environmental Sciences School marking criteria apply, with a stronger emphasis on evidencing the use of regression models, critical analysis of results and presentation standards. In addition to these general criteria, the code and outputs (i.e. tables, maps and plots) contained within the notebook submitted for assessment will be assessed according to the extent of documentation and evidence of expertise in changing and extending the code options illustrated in each chapter. Specifically, the following criteria will be applied: - -- **0-15**: no documentation and use of default options. -- **16-39**: little documentation and use of default options. -- **40-49**: some documentation, and use of default options. -- **50-59**: extensive documentation, and edit of some of the options provided in the notebook (e.g. change north arrow location). -- **60-69**: extensive well organised and easy to read documentation, and evidence of understanding of options provided in the code (e.g. tweaking existing options). -- **70-79**: all above, plus clear evidence of code design skills (e.g. customising graphics, combining plots (or tables) into a single output, adding clear axis labels and variable names on graphic outputs, etc.). -- **80-100**: all as above, plus code containing novel contributions that extend/improve the functionality the code was provided with (e.g. comparative model assessments, novel methods to perform the task, etc.). +::: +::: + +## Assessment + +The final module mark is composed of the *two computational essays*. Together they are designed to cover the materials introduced in the entirety of content covered during the semester. A computational essay is an essay whose narrative is supported by code and computational results that are included in the essay itself. Each teaching week, you will be required to address a set of questions relating to the module content covered in that week, and to use the material that you will produce for this purpose to build your computational essay. + +**Assignment 1 (50%)** refer to the set of questions at the end of @sec-chp4, @sec-chp5 and @sec-chp6. You are required to use your responses to build your computational essay. Each chapter provides more specific guidance of the tasks and discussion that you are required to consider in your assignment. + +**Assignment 2 (50%)** refer to the set of questions at the end of @sec-chp7, @sec-chp8, @sec-chp9 and @sec-chp10. You are required to use your responses to build your computational essay. Each chapter provides more specific guidance of the tasks and discussion that you are required to consider in your assignment. + +### Format Requirements + +Both assignments will have the same requirements: + +- Maximum word count: 2,000 words, excluding figures and references. +- Up to three maps, plot or figures (a figure may include more than one map and/or plot and will only count as one but needs to be integrated in the figure) +- Up to two tables. + +Assignments need to be prepared in "*Quarto Document*" format (i.e. qmd extension) and then converted into a self-contained HTML file that will then be submitted via Turnitin. The document should only display content that will be assessed. Intermediate steps do not need to be displayed. Messages resulting from loading packages, attaching data frames, or similar messages do not need to be included as output code. Useful resources to customise your R notebook can be found on [Quarto's website](https://quarto.org/docs/guide/). + +Two Quarto Document templates will be available via [the module Canvas site](https://canvas.liverpool.ac.uk/courses/60454). + +Submission is electronic only via Turnitin on Canvas. + +### Marking criteria + +The Standard Environmental Sciences School marking criteria apply, with a stronger emphasis on evidencing the use of regression models, critical analysis of results and presentation standards. In addition to these general criteria, the code and outputs (i.e. tables, maps and plots) contained within the notebook submitted for assessment will be assessed according to the extent of documentation and evidence of expertise in changing and extending the code options illustrated in each chapter. Specifically, the following criteria will be applied: + +- **0-15**: no documentation and use of default options. +- **16-39**: little documentation and use of default options. +- **40-49**: some documentation, and use of default options. +- **50-59**: extensive documentation, and edit of some of the options provided in the notebook (e.g. change north arrow location). +- **60-69**: extensive well organised and easy to read documentation, and evidence of understanding of options provided in the code (e.g. tweaking existing options). +- **70-79**: all above, plus clear evidence of code design skills (e.g. customising graphics, combining plots (or tables) into a single output, adding clear axis labels and variable names on graphic outputs, etc.). +- **80-100**: all as above, plus code containing novel contributions that extend/improve the functionality the code was provided with (e.g. comparative model assessments, novel methods to perform the task, etc.). diff --git a/docs/03-data-wrangling.html b/docs/03-data-wrangling.html index 7456720..821fa7b 100644 --- a/docs/03-data-wrangling.html +++ b/docs/03-data-wrangling.html @@ -1203,8 +1203,8 @@
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             groupFctr             groupID        term         mean       median
    -1  lsoa_cd:msoa_cd E01006512:E02001377 (Intercept) -0.015081714 -0.016104561
    -2  lsoa_cd:msoa_cd E01006513:E02006932 (Intercept) -0.018509169 -0.018837238
    -3  lsoa_cd:msoa_cd E01006514:E02001383 (Intercept) -0.021414352 -0.021638964
    -4  lsoa_cd:msoa_cd E01006515:E02001383 (Intercept) -0.019405726 -0.020418908
    -5  lsoa_cd:msoa_cd E01006518:E02001390 (Intercept) -0.016291590 -0.017026864
    -6  lsoa_cd:msoa_cd E01006519:E02001402 (Intercept) -0.015274075 -0.015047501
    -7  lsoa_cd:msoa_cd E01006520:E02001389 (Intercept) -0.021349416 -0.022839020
    -8  lsoa_cd:msoa_cd E01006521:E02001398 (Intercept)  0.006256878  0.008382039
    -9  lsoa_cd:msoa_cd E01006522:E02001394 (Intercept)  0.018705749  0.020251657
    -10 lsoa_cd:msoa_cd E01006523:E02001398 (Intercept)  0.003301707  0.002395617
    -           sd
    -1  0.01898623
    -2  0.01996967
    -3  0.01986592
    -4  0.01974002
    -5  0.02149855
    -6  0.01011427
    -7  0.01860648
    -8  0.02014752
    -9  0.01810913
    -10 0.01918916
    +1 lsoa_cd:msoa_cd E01006512:E02001377 (Intercept) -0.017672467 -0.015806783 +2 lsoa_cd:msoa_cd E01006513:E02006932 (Intercept) -0.016100308 -0.017000565 +3 lsoa_cd:msoa_cd E01006514:E02001383 (Intercept) -0.025442989 -0.026267409 +4 lsoa_cd:msoa_cd E01006515:E02001383 (Intercept) -0.018891281 -0.019143435 +5 lsoa_cd:msoa_cd E01006518:E02001390 (Intercept) -0.019148563 -0.018554435 +6 lsoa_cd:msoa_cd E01006519:E02001402 (Intercept) -0.015492272 -0.015722844 +7 lsoa_cd:msoa_cd E01006520:E02001389 (Intercept) -0.025259003 -0.025007573 +8 lsoa_cd:msoa_cd E01006521:E02001398 (Intercept) 0.007955532 0.007993531 +9 lsoa_cd:msoa_cd E01006522:E02001394 (Intercept) 0.017985515 0.019536137 +10 lsoa_cd:msoa_cd E01006523:E02001398 (Intercept) 0.005355117 0.005633975 + sd +1 0.018391211 +2 0.019652099 +3 0.019058745 +4 0.020226381 +5 0.019389638 +6 0.009645985 +7 0.019125663 +8 0.020530033 +9 0.018747930 +10 0.018392227

    The results contain the estimated mean, median and standard deviation for the intercept within each group (e.g. LSOA). The mean estimates are similar to those obtained from ranef with some small differences due to rounding.

    @@ -1009,9 +1009,9 @@ $ groupFctr: chr "msoa_cd" "msoa_cd" "msoa_cd" "msoa_cd" ... $ groupID : chr "E02001347" "E02001348" "E02001349" "E02001350" ... $ term : chr "(Intercept)" "(Intercept)" "(Intercept)" "(Intercept)" ... - $ mean : num -0.01015 -0.02574 -0.03053 0.00527 0.02168 ... - $ median : num -0.01187 -0.02646 -0.03328 0.00648 0.02084 ... - $ sd : num 0.0317 0.0285 0.032 0.0299 0.0153 ... + $ mean : num -0.0145 -0.01995 -0.03009 0.00967 0.02172 ... + $ median : num -0.01712 -0.01983 -0.03441 0.00521 0.02216 ... + $ sd : num 0.031 0.0347 0.0324 0.0304 0.0158 ...
    # merge data
     msoa_shp <- merge(x = msoa_shp, y = re_msoa, by.x = "MSOA_CD", by.y = "groupID")
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b/docs/08-multilevel-02.html index c21734e..beee927 100644 --- a/docs/08-multilevel-02.html +++ b/docs/08-multilevel-02.html @@ -513,9 +513,9 @@ $ groupFctr: chr "msoa_cd" "msoa_cd" "msoa_cd" "msoa_cd" ... $ groupID : chr "E02001347" "E02001348" "E02001349" "E02001350" ... $ term : chr "lt_ill" "lt_ill" "lt_ill" "lt_ill" ... - $ mean : num 0.0289 -0.1117 0.0553 -0.1424 -0.2842 ... - $ median : num 0.0266 -0.1073 0.0538 -0.1364 -0.28 ... - $ sd : num 0.0461 0.0645 0.0762 0.0383 0.0391 ... + $ mean : num 0.0229 -0.111 0.0609 -0.1436 -0.2818 ... + $ median : num 0.0249 -0.1176 0.0553 -0.1416 -0.285 ... + $ sd : num 0.0443 0.0698 0.0776 0.0413 0.038 ...

    # merge data
     msoa_shp <- merge(x = msoa_shp, y = re_msoa_m6, by.x = "MSOA_CD", by.y = "groupID")
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