Introduction | Artfish - Total Catch and Effort | Artfish - Catch and Effort by Fishing Unit | Artfish - Catch and Effort by Species | Summary | Appendix | Annex A - Figure Box and Chart Additional Features | Window and Layout Controls | Chart Legend and Interactions | Chart Toolbar Action Buttons
Package: artfishr 0.1.20260701
Emmanuel Blondel
artfishr: ArtFish for R
Set of functions in support of ArtFish implementation.
Authors:
artfishr_0.1.20260701.tar.gz
artfishr_0.1.20260701.zip(r-4.7)artfishr_0.1.20260701.zip(r-4.6)artfishr_0.1.20260701.zip(r-4.5)
artfishr_0.1.20260701.tgz(r-4.6-any)artfishr_0.1.20260701.tgz(r-4.5-any)
artfishr_0.1.20260701.tar.gz(r-4.7-any)artfishr_0.1.20260701.tar.gz(r-4.6-any)
artfishr_0.1.20260701.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
artfishr/json (API)
| # Install 'artfishr' in R: |
| install.packages('artfishr', repos = c('https://fdiwg.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/fdiwg/artfishr/issues
Pkgdown/docs site:https://fdiwg.github.io
Last updated from:102e1ddbf2. Checks:7 WARNING, 2 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | WARNING | 191 | ||
| source / vignettes | OK | 248 | ||
| linux-release-x86_64 | WARNING | 200 | ||
| macos-release-arm64 | WARNING | 117 | ||
| macos-oldrel-arm64 | WARNING | 115 | ||
| windows-devel | WARNING | 131 | ||
| windows-release | WARNING | 137 | ||
| windows-oldrel | WARNING | 142 | ||
| wasm-release | OK | 159 |
Exports:accuracy_plotartfish_accuracyartfish_estimatesartfish_estimates_by_fleet_segmentartfish_flouca_by_periodartfish_newartfish_new_by_periodartfish_shiny_accuracy_serverartfish_shiny_accuracy_uiartfish_shiny_computation_serverartfish_shiny_fishing_unit_serverartfish_shiny_fishing_unit_uiartfish_shiny_overview_serverartfish_shiny_overview_uiartfish_shiny_report_serverartfish_shiny_report_uiartfish_shiny_species_serverartfish_shiny_species_uiartfish_shiny_welcome_serverartfish_shiny_welcome_uicomplete_active_dayscompute_accuracycompute_catch_estimatecompute_catch_estimates_by_speciescompute_cpuecompute_effort_activity_coefficientcompute_effort_estimatecompute_effort_estimate_with_FAO_Artfishcompute_effort_estimate_with_IRD_Pechartcompute_reportcompute_suicreate_active_days_templatecreate_active_vessels_templatecreate_artfish_templatecreate_effort_templatecreate_landings_templatedecode_artfish_schemaERRORgenerate_active_daysgenerate_active_days_by_periodget_fdi_termsget_vrule_validatorsINFOjoin_guess_byloggerrun_artfish_shinysample_size_plotselect_active_vesselsset_translation_languageset_vrule_validatorstranslatorunif_indexvalidate_active_daysvalidate_active_vesselsvalidate_effortvalidate_input_datasetsvalidate_landingsWARN
Dependencies:askpassbase64encbitbit64bs4Dashbslibcachemclicliprcommonmarkcpp11crayoncrosstalkcurldata.tabledigestdplyrDTevaluatefarverfastmapfdishinyrfontawesomefreshfsgenericsggplot2gluegtablehighrhmshtmltoolshtmlwidgetshttpuvhttrisobandjquerylibjsonliteknitrlabelinglaterlazyevallifecyclelubridatemagrittrmemoisemimeopensslotelpillarpkgconfigprettyunitsprogresspromisespurrrR6rappdirsRColorBrewerRcppreadrrhandsontablerlangrmarkdownrstudioapiS7sassscalesshinyshiny.i18nshinyWidgetssourcetoolsstringistringrsystibbletidyrtidyselecttimechangetinytextzdbutf8vctrsviridisLitevroomvrulewaiterwithrxfunxtableyaml
Artfish visualisations
Last update: 2026-07-02
Started: 2026-07-02
Data Requirements and Validation
1. Introduction | 2. Overview of ArtFish data formats | 3. Identify your sampling strategy | 4. Creating empty data templates | 5. Validating input datasets | 6. Summary and recommendations | 7. References
Last update: 2026-07-02
Started: 2026-07-02
Introduction to artfishr package
Installation | Data requirements | How to run Artfish with artfishr | The Artfish methodology - summary | Exemple of use
Last update: 2026-07-02
Started: 2025-04-25
Statistical framework of the ARTFISH methodology
1. Introduction | 2. Artfish Methodology concept | 2.1 Presentation of a generic formula | 2.2 Stratification | 3. CPUE | 4. Effort | 4.1 Presentation | 4.2 Number of active vessels: Estimation of raising factor expressing total number of active fishing units (F) | 4.3 Number of active days: Estimation of the time raising factor (D) | 4.4 Activity coefficient: Estimation of boat activity coefficient (BAC) or fishing activity coefficient (FAC) | 4.4.1 Difference between BAC and FAC | 4.4.2 Boat activity coefficient | 4.4.3 Fishing activity coefficient | 5. Total catch estimation and catch per species | 5.1 Catch per species per stratum | 5.2 Total catch estimation | 6. Estimation quality control
Last update: 2026-07-02
Started: 2026-07-02
Using ArtFishR for Small-Scale Fisheries Estimation
Introduction | Data preparation | Identify data collection strategy | Step-by-step ARTFISH workflow | 1. Effort Activity Coefficient | 2. Effort Estimate | 3. Catch per Unit of Effort (CPUE) | 4. Catch Estimate | 5. Catch Estimate by Species | Using the unified workflow | Interpreting results | Summary
Last update: 2026-07-02
Started: 2026-07-02
