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mbquartR: Finding Manitoba Quarter Sections #658

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alex-koiter opened this issue Sep 22, 2024 · 17 comments
Open
12 of 29 tasks

mbquartR: Finding Manitoba Quarter Sections #658

alex-koiter opened this issue Sep 22, 2024 · 17 comments
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@alex-koiter
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alex-koiter commented Sep 22, 2024

Submitting Author Name: Alexander Koiter
Submitting Author Github Handle: @alex-koiter
Other Package Authors Github handles: (comma separated, delete if none)
Repository: https://github.com/alex-koiter/mbquartR
Version submitted: 0.0.0.9000
Submission type: Standard
Editor: @jhollist
Reviewers: @sheilasaia

Due date for @sheilasaia: 2024-11-29

Archive: TBD
Version accepted: TBD
Language: en


  • Paste the full DESCRIPTION file inside a code block below:

Package: mbquartR
Title: Finding Manitoba Quarter Sections
Version: 0.0.0.9000
Authors@R:
person("Alex", "Koiter", , "koitera@brandonu.ca", role = c("aut", "cre"),
comment = c(ORCID = "0000-0002-9355-9561"))
Description: This package has three main functions: 1) find the coordinates of a quarter sections given the legal land description (e.g., "NE-11-33-29W"); 2) find the legal land description using coordinates (lat and long); and 3) plot these points on a map.
License: MIT + file LICENSE
URL: http://alexkoiter.ca/mbquartR/, https://github.com/alex-koiter/mbquartR
BugReports: https://github.com/alex-koiter/mbquartR/issues
Encoding: UTF-8
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.1
Suggests:
testthat (>= 3.0.0),
curl (>= 5.2.1),
knitr,
rmarkdown
Config/testthat/edition: 3
Imports:
dplyr (>= 1.1.4),
purrr (>= 1.0.2),
sf (>= 1.0.16),
tibble (>= 3.2.1),
tidyr (>= 1.3.1),
stringr (>= 1.5.1),
units (>= 0.8.5),
mapview (>= 2.11.2),
readr (>= 2.1.4),
crayon (>= 1.5.2),
rlang
VignetteBuilder: knitr


Scope

  • Please indicate which category or categories from our package fit policies this package falls under: (Please check an appropriate box below. If you are unsure, we suggest you make a pre-submission inquiry.):

    • data retrieval
    • data extraction
    • data munging
    • data deposition
    • data validation and testing
    • workflow automation
    • version control
    • citation management and bibliometrics
    • scientific software wrappers
    • field and lab reproducibility tools
    • database software bindings
    • geospatial data
    • text analysis
  • Explain how and why the package falls under these categories (briefly, 1-2 sentences):

This package enables users to download the Manitoba Original Survey Legal Descriptions data from the Manitoba government geoportal. It includes functions that allow users to easily search for parcels of land (i.e., quarter sections) by either the legal land description or by coordinates and plot them on an interactive map.

  • Who is the target audience and what are scientific applications of this package?

The target audience are those who work with geospatial data in Manitoba, particularly those who are working with rural or farm parcels of land where the legal land description is commonly used as the method of identifying the location. Also anyone who needs to quickly go back and forth between geographic coordinates and the legal land description. Currently, there are a few web-based tools (https://geoportal.gov.mb.ca/datasets/11fa11f9015b45438d6493dcb3d8071c/, https://www.masc.mb.ca/masc.nsf/land_parcel_info.html, https://legallandconverter.com/p4.html) that allow users to locate land parcels but do not allow for batch processing, do not return coordinates, and/or are fee based. Being able to convert back and forth is also helpful for scientist preparing outreach materials.

No

NA. This package provides access to publicly available data.

  • If you made a pre-submission inquiry, please paste the link to the corresponding issue, forum post, or other discussion, or @tag the editor you contacted.

#649

  • Explain reasons for any pkgcheck items which your package is unable to pass.

pkgcheck passes fully with github actions but fails locally because it doesn't think I have CI (but I do).

Technical checks

Confirm each of the following by checking the box.

This package:

Publication options

  • Do you intend for this package to go on CRAN?

  • Do you intend for this package to go on Bioconductor?

  • Do you wish to submit an Applications Article about your package to Methods in Ecology and Evolution? If so:

MEE Options
  • The package is novel and will be of interest to the broad readership of the journal.
  • The manuscript describing the package is no longer than 3000 words.
  • You intend to archive the code for the package in a long-term repository which meets the requirements of the journal (see MEE's Policy on Publishing Code)
  • (Scope: Do consider MEE's Aims and Scope for your manuscript. We make no guarantee that your manuscript will be within MEE scope.)
  • (Although not required, we strongly recommend having a full manuscript prepared when you submit here.)
  • (Please do not submit your package separately to Methods in Ecology and Evolution)

Code of conduct

@ropensci-review-bot
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Thanks for submitting to rOpenSci, our editors and @ropensci-review-bot will reply soon. Type @ropensci-review-bot help for help.

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🚀

Editor check started

👋

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Checks for mbquartR (v0.0.0.9000)

git hash: 49820566

  • ✔️ Package name is available
  • ✔️ has a 'codemeta.json' file.
  • ✔️ has a 'contributing' file.
  • ✔️ uses 'roxygen2'.
  • ✔️ 'DESCRIPTION' has a URL field.
  • ✔️ 'DESCRIPTION' has a BugReports field.
  • ✔️ Package has at least one HTML vignette
  • ✔️ All functions have examples.
  • ✔️ Package has continuous integration checks.
  • ✔️ Package coverage is 88%.
  • ✔️ R CMD check found no errors.
  • ✔️ R CMD check found no warnings.

Package License: MIT + file LICENSE


1. Package Dependencies

Details of Package Dependency Usage (click to open)

The table below tallies all function calls to all packages ('ncalls'), both internal (r-base + recommended, along with the package itself), and external (imported and suggested packages). 'NA' values indicate packages to which no identified calls to R functions could be found. Note that these results are generated by an automated code-tagging system which may not be entirely accurate.

type package ncalls
internal base 15
internal mbquartR 15
internal utils 4
internal stats 2
imports dplyr 9
imports sf 7
imports tibble 2
imports readr 2
imports purrr 1
imports mapview 1
imports tidyr NA
imports stringr NA
imports units NA
imports crayon NA
imports rlang NA
suggests testthat NA
suggests curl NA
suggests knitr NA
suggests rmarkdown NA
linking_to NA NA

Click below for tallies of functions used in each package. Locations of each call within this package may be generated locally by running 's <- pkgstats::pkgstats(<path/to/repo>)', and examining the 'external_calls' table.

base

c (7), getOption (2), by (1), curlGetHeaders (1), force (1), paste0 (1), search (1), url (1)

mbquartR

cache_file (3), cache_dir (2), cache_load (2), centroid (2), cache_check (1), cache_dl (1), closest_centoid (1), map_quarter (1), quarters_dl (1), search_coord (1)

dplyr

mutate (2), select (2), (1), join_by (1), last_col (1), rename (1), right_join (1)

sf

st_as_sf (5), st_transform (2)

utils

data (2), menu (2)

readr

read_csv (2)

stats

dist (2)

tibble

rowid_to_column (1), tibble (1)

mapview

mapview (1)

purrr

map2 (1)

NOTE: Some imported packages appear to have no associated function calls; please ensure with author that these 'Imports' are listed appropriately.


2. Statistical Properties

This package features some noteworthy statistical properties which may need to be clarified by a handling editor prior to progressing.

Details of statistical properties (click to open)

The package has:

  • code in R (100% in 5 files) and
  • 1 authors
  • 1 vignette
  • no internal data file
  • 11 imported packages
  • 4 exported functions (median 19 lines of code)
  • 21 non-exported functions in R (median 7 lines of code)

Statistical properties of package structure as distributional percentiles in relation to all current CRAN packages
The following terminology is used:

  • loc = "Lines of Code"
  • fn = "function"
  • exp/not_exp = exported / not exported

All parameters are explained as tooltips in the locally-rendered HTML version of this report generated by the checks_to_markdown() function

The final measure (fn_call_network_size) is the total number of calls between functions (in R), or more abstract relationships between code objects in other languages. Values are flagged as "noteworthy" when they lie in the upper or lower 5th percentile.

measure value percentile noteworthy
files_R 5 31.6
files_vignettes 1 62.0
files_tests 5 76.5
loc_R 176 20.2
loc_vignettes 52 9.3
loc_tests 110 39.4
num_vignettes 1 59.0
n_fns_r 25 34.3
n_fns_r_exported 4 20.0
n_fns_r_not_exported 21 41.1
n_fns_per_file_r 3 45.9
num_params_per_fn 2 8.2
loc_per_fn_r 9 24.9
loc_per_fn_r_exp 20 46.4
loc_per_fn_r_not_exp 7 18.9
rel_whitespace_R 28 33.0
rel_whitespace_vignettes 54 19.0
rel_whitespace_tests 25 41.2
doclines_per_fn_exp 29 31.1
doclines_per_fn_not_exp 0 0.0 TRUE
fn_call_network_size 16 40.7

2a. Network visualisation

Click to see the interactive network visualisation of calls between objects in package


3. goodpractice and other checks

Details of goodpractice checks (click to open)

3a. Continuous Integration Badges

R-CMD-check.yaml
pkgcheck

GitHub Workflow Results

id name conclusion sha run_number date
10967106383 pages build and deployment success 284672 9 2024-09-20
10967082710 pkgcheck success 498205 3 2024-09-20
10967082712 pkgdown success 498205 10 2024-09-20
10967082708 R-CMD-check success 498205 17 2024-09-20
10967082707 test-coverage success 498205 17 2024-09-20

3b. goodpractice results

R CMD check with rcmdcheck

rcmdcheck found no errors, warnings, or notes

Test coverage with covr

Package coverage: 87.97

Cyclocomplexity with cyclocomp

No functions have cyclocomplexity >= 15

Static code analyses with lintr

lintr found the following 1 potential issues:

message number of times
Avoid library() and require() calls in packages 1


Package Versions

package version
pkgstats 0.1.6.17
pkgcheck 0.1.2.58


Editor-in-Chief Instructions:

This package is in top shape and may be passed on to a handling editor

@adamhsparks
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Hi @alex-koiter, the rOpenSci bot says this is all good, but when I run checks locally, I get an error.

> devtools::check()
══ Documenting ════════════════════════════════════════════════════════════════════════════
ℹ Installed roxygen2 version (7.3.2) doesn't match required (7.3.1)
✖ `check()` will not re-document this package
══ Building ═══════════════════════════════════════════════════════════════════════════════
Setting env vars:
• CFLAGS    : -Wall -pedantic -fdiagnostics-color=always
• CXXFLAGS  : -Wall -pedantic -fdiagnostics-color=always
• CXX11FLAGS: -Wall -pedantic -fdiagnostics-color=always
• CXX14FLAGS: -Wall -pedantic -fdiagnostics-color=always
• CXX17FLAGS: -Wall -pedantic -fdiagnostics-color=always
• CXX20FLAGS: -Wall -pedantic -fdiagnostics-color=always
── R CMD build ────────────────────────────────────────────────────────────────────────────
✔  checking for file ‘/Users/adamsparks/tmp/mbquartR/DESCRIPTION’ ...
─  preparing ‘mbquartR’:
✔  checking DESCRIPTION meta-information ...
─  installing the package to build vignettes
E  creating vignettes (1.5s)
   --- re-building ‘mbquartR.Rmd’ using rmarkdown
   
   Quitting from lines 69-71 [example] (mbquartR.Rmd)
   Error: processing vignette 'mbquartR.Rmd' failed with diagnostics:
   Data doesn't exist, please download with `quarters_dl()` first
   --- failed re-buildingmbquartR.RmdSUMMARY: processing the following file failed:mbquartR.RmdError: Vignette re-building failed.
   Execution halted
Error:
! ! System command 'R' failed
Show Traceback

Please ignore the roxygen2 comment, I'm concerned about the Error creating vignettes.

@alex-koiter
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Thanks @adamhsparks! The issue was that the vignette needed to access data that hadn't been downloaded yet. I have now created some sample data that the vignette uses. Also found some additional typos and made a few other small changes. It should work now.

@adamhsparks
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Looks good, @alex-koiter. Thanks, I'll proceed from here.

@adamhsparks
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@ropensci-review-bot assign @jhollist as editor

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Assigned! @jhollist is now the editor

@jhollist
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@alex-koiter I will take some time today/tomorrow to dig into this a bit and will get back to you with any suggestions. Looking forward to the review process!

@jhollist
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jhollist commented Oct 1, 2024

@alex-koiter I am just now starting to look at this (apologies!!) I still get the the same error as @adamhsparks with the vignette build. I have cloned and attempted to build https://github.com/alex-koiter/mbquartR and get the error. Perhaps the fix wasn't pushed?

Also I see no documentation on your non-exported functions (Statistical Properties in #658 (comment)). While not technically required, it would be an easy area of improvement to add documentation on these non-exported functions.

@alex-koiter
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@jhollist It turns out that I only partially resolved the issue (or fixed a different one). I have resolved the error so you should be able to clone and build the package now. I will take me a few days to get the documentation for the internal functions completed and I will let you know once that is done.
Thanks!

@jhollist
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jhollist commented Oct 3, 2024

And FYI, check runs now on my machine! I did see this:


─ checking examples ... [43s] OK (43.4s)
Examples with CPU (user + system) or elapsed time > 5s
user system elapsed
map_quarter 23.53 2.08 28.48
search_coord 10.39 0.65 8.47

I know this is system specific so might not be a real issue, but if there is an easy way to have the example run a bit faster that would be good.

@alex-koiter
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@jhollist The internal function documentation is now complete. As for the run time, I think this may be an artifact of how the functions are written. This is where the reviewers may be able to provide some suggestions.
Thanks!

@jhollist
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@alex-koiter Thanks! Looks good on my end. Will start looking for reviewers now.

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jhollist commented Nov 8, 2024

@ropensci-review-bot assign @sheilasaia as reviewer

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@sheilasaia added to the reviewers list. Review due date is 2024-11-29. Thanks @sheilasaia for accepting to review! Please refer to our reviewer guide.

rOpenSci’s community is our best asset. We aim for reviews to be open, non-adversarial, and focused on improving software quality. Be respectful and kind! See our reviewers guide and code of conduct for more.

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@sheilasaia: If you haven't done so, please fill this form for us to update our reviewers records.

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