{"id":13232,"date":"2021-11-02T13:55:42","date_gmt":"2021-11-02T18:55:42","guid":{"rendered":"https:\/\/rud.is\/b\/?p=13232"},"modified":"2021-11-02T13:55:42","modified_gmt":"2021-11-02T18:55:42","slug":"30daymapchallenge-2021-day-2-lines","status":"publish","type":"post","link":"https:\/\/rud.is\/b\/2021\/11\/02\/30daymapchallenge-2021-day-2-lines\/","title":{"rendered":"#30DayMapChallenge 2021 Day 2: Lines"},"content":{"rendered":"

The 30-Day Map Challenge is on again, and I’m hoping to be able to scrounge some time to get an entry for each day. Day 2 is lines (Day 1 was posted on Twitter only) and \u2014 while I’m hoping to focus on saving U.S. democracy for the majority of the entries, today’s is a short one that shows all the walks\/hikes\/boats we took during our Iceland vacation.<\/p>\n

I use HealthFit<\/a> to export data (automagically) from all my Apple Watch, Garmin, and Peloton activities, and have it auto-sync to iCloud, which means I have instant access to all the Garmin FIT files it creates in ~\/Library\/Mobile Documents\/iCloud~com~altifondo~HealthFit\/<\/code>.<\/p>\n

\"\"<\/a><\/p>\n

We can use {FITFileR} to read in those files, turn the points into lines, and plot them all on a {leaflet} map, so I can get an interactive view into the paths.<\/p>\n

If I had more time, I’d add activity names and other clickable statistics in popups, which is pretty straightforward in {leaflet}.<\/p>\n

Comments in code hopefully explain the workflow:<\/p>\n

library(sf)\nlibrary(FITfileR) # remotes::install_github(\"grimbough\/FITfileR\")\nlibrary(leaflet)\nlibrary(tidyverse)\n\n# get a listing of all the files for when we were in Iceland\nlist.files(\n  path = \"~\/Library\/Mobile Documents\/iCloud~com~altifondo~HealthFit\/Documents\", \n  pattern = \"(2021-07-3[01]|2021-08-0[1-9])\",\n  full.names = TRUE\n) %>% \n  map(\n    ~readFitFile(.x) %>%          # read the file in\n      records() %>%               # turn into something we can then bind into a data frame\n      bind_rows() %>%             # bind ^^ into a data frame!\n      mutate(file = basename(.x)) # add the file info in case we want to eventually make a popup of information\n  ) -> iceland_fit_files\n\n\n# look at the data\n\niceland_fit_files[[1]]\n## # A tibble: 2,210 \u00d7 12\n##    timestamp           position_lat position_long gps_accuracy altitude distance speed temperature heart_rate cadence\n##    <dttm>                     <dbl>         <dbl>        <dbl>    <dbl>    <dbl> <dbl>       <dbl>      <dbl>   <dbl>\n##  1 2021-07-30 06:28:26         64.2         -21.9            2     21       318. 0.221          13        116      NA\n##  2 2021-07-30 06:28:27         64.2         -21.9            2     21       318. 0.521          13        116      NA\n##  3 2021-07-30 06:28:28         64.2         -21.9            2     21       319. 0.792          13        116      NA\n##  4 2021-07-30 06:28:47         64.2         -21.9            2     19.4     338. 0.217          13        118      NA\n##  5 2021-07-30 06:28:48         64.2         -21.9            2     19.2     338. 0.147          13        118      NA\n##  6 2021-07-30 06:28:49         64.2         -21.9            2     19       338. 0.109          13        117      NA\n##  7 2021-07-30 06:28:50         64.2         -21.9            2     19       338. 0.076          13        117      NA\n##  8 2021-07-30 06:28:51         64.2         -21.9            2     18.8     338. 0.036          13        116      NA\n##  9 2021-07-30 06:28:52         64.2         -21.9            2     18.6     338. 0.153          13        115      NA\n## 10 2021-07-30 06:28:53         64.2         -21.9            2     18.4     339. 0.393          13        115      NA\n## # \u2026 with 2,200 more rows, and 2 more variables: fractional_cadence <dbl>, file <chr>\n\niceland_fit_files[map_lgl(iceland_fit_files, has_name, \"position_long\")] %>% # only want activities with geo data\n  map(\n    ~.x %>% \n      filter(!is.na(position_long), !is.na(position_lat)) %>% # {sf} hates NAs\n      st_as_sf(\n        coords = c(\"position_long\", \"position_lat\"), # turn the data frame into an {sf} object\n        crs = 4326\n      )\n  ) %>% \n  bind_rows() %>% # this makes one big data frame\n  group_by(file) %>%  # which we can turn into individual geometries\n  summarise(          # with the epic summarise() function\n    m = max(distance)\n  ) %>% \n  st_cast(\"LINESTRING\") -> paths # and then turn the points into linestrings\n\n# let's take a look\n\npaths\n## Simple feature collection with 33 features and 2 fields\n## Geometry type: LINESTRING\n## Dimension:     XY\n## Bounding box:  xmin: -23.92788 ymin: 63.40121 xmax: -16.18086 ymax: 65.08101\n## Geodetic CRS:  WGS 84\n## # A tibble: 33 \u00d7 3\n##    file                                        m                                                                    geometry\n##    <chr>                                   <dbl>                                                            <LINESTRING [\u00b0]>\n##  1 2021-07-30-062401-Walking-Chetzmoka.fit 2807. (-21.94386 64.15495, -21.94382 64.15497, -21.94384 64.15496, -21.94388 64.\u2026\n##  2 2021-07-30-101146-Walking-Chetzmoka.fit 1191. (-21.93504 64.14761, -21.93502 64.1476, -21.93503 64.14761, -21.93501 64.1\u2026\n##  3 2021-07-30-105706-Walking-Chetzmoka.fit 1554. (-21.91706 64.12906, -21.91704 64.12905, -21.91702 64.12905, -21.917 64.12\u2026\n##  4 2021-07-30-143247-Walking-Chetzmoka.fit 1620. (-21.94977 64.15683, -21.94978 64.15685, -21.94979 64.15686, -21.94995 64.\u2026\n##  5 2021-07-31-122122-Walking-Chetzmoka.fit  702. (-22.26431 64.7628, -22.26463 64.76297, -22.26527 64.76332, -22.26496 64.7\u2026\n##  6 2021-07-31-131832-Walking-Chetzmoka.fit 2084. (-22.84353 64.90553, -22.84351 64.90553, -22.84349 64.90553, -22.84347 64.\u2026\n##  7 2021-07-31-182725-Walking-Chetzmoka.fit  578. (-22.72256 65.0809, -22.72255 65.0809, -22.72254 65.08089, -22.72252 65.08\u2026\n##  8 2021-08-01-105420-Walking-Chetzmoka.fit 1210. (-23.63732 64.79827, -23.6373 64.79829, -23.6373 64.79829, -23.6373 64.798\u2026\n##  9 2021-08-01-142847-Walking-Chetzmoka.fit 2385. (-23.80382 64.73048, -23.8038 64.73047, -23.8038 64.73047, -23.8038 64.730\u2026\n## 10 2021-08-01-165642-Walking-Chetzmoka.fit  423. (-23.92745 64.85198, -23.92749 64.85197, -23.92747 64.85197, -23.92746 64.\u2026\n## # \u2026 with 23 more rows\n\n# make room locally\n\ndir.create(\"~\/projects\/2021-iceland\", showWarnings = FALSE)\n\n# save the widget out\n\npaths %>% \n  filter(!grepl(\"2021-08-10\", file)) %>% \n  leaflet() %>% \n  addProviderTiles(\"CartoDB.Positron\") %>% \n  addPolygons(color = \"green\") %>% \n  htmlwidgets::saveWidget(\n    file = \"~\/projects\/2021-iceland\/index.html\",\n    selfcontained = FALSE\n  )\n\n# rsync it out to my website\n#\n<\/code><\/pre>\n
This is the (static) overview:<\/p>\n
\"\"<\/a><\/p>\n
And, this is a zoom into our boating tour of a glacier lagoon:<\/p>\n
\"\"<\/a><\/p>\n
Hit up the widget<\/a> to see where we did our Iceland activities this summer!<\/p>\n","protected":false},"excerpt":{"rendered":"
The 30-Day Map Challenge is on again, and I’m hoping to be able to scrounge some time to get an entry for each day. Day 2 is lines (Day 1 was posted on Twitter only) and \u2014 while I’m hoping to focus on saving U.S. democracy for the majority of the entries, today’s is a […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"jetpack_post_was_ever_published":false,"_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":false,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"_jetpack_memberships_contains_paid_content":false,"activitypub_content_warning":"","activitypub_content_visibility":"","activitypub_max_image_attachments":3,"activitypub_interaction_policy_quote":"anyone","activitypub_status":"","footnotes":""},"categories":[720,91],"tags":[846],"class_list":["post-13232","post","type-post","status-publish","format-standard","hentry","category-gis","category-r","tag-30daymapchallenge"],"yoast_head":"\n#30DayMapChallenge 2021 Day 2: Lines - rud.is<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/rud.is\/b\/2021\/11\/02\/30daymapchallenge-2021-day-2-lines\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"#30DayMapChallenge 2021 Day 2: Lines - rud.is\" \/>\n<meta property=\"og:description\" content=\"The 30-Day Map Challenge is on again, and I’m hoping to be able to scrounge some time to get an entry for each day. 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Day 2 is lines (Day 1 was posted on Twitter only) and \u2014 while I’m hoping to focus on saving U.S. democracy for the majority of the entries, today’s is a […]","og_url":"https:\/\/rud.is\/b\/2021\/11\/02\/30daymapchallenge-2021-day-2-lines\/","og_site_name":"rud.is","article_published_time":"2021-11-02T18:55:42+00:00","og_image":[{"url":"https:\/\/rud.is\/b\/wp-content\/uploads\/2021\/11\/healthfit-directory-530x556.png","type":"","width":"","height":""}],"author":"hrbrmstr","twitter_card":"summary_large_image","twitter_misc":{"Written by":"hrbrmstr","Est. reading time":"3 minutes"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"Article","@id":"https:\/\/rud.is\/b\/2021\/11\/02\/30daymapchallenge-2021-day-2-lines\/#article","isPartOf":{"@id":"https:\/\/rud.is\/b\/2021\/11\/02\/30daymapchallenge-2021-day-2-lines\/"},"author":{"name":"hrbrmstr","@id":"https:\/\/rud.is\/b\/#\/schema\/person\/d7cb7487ab0527447f7fda5c423ff886"},"headline":"#30DayMapChallenge 2021 Day 2: Lines","datePublished":"2021-11-02T18:55:42+00:00","mainEntityOfPage":{"@id":"https:\/\/rud.is\/b\/2021\/11\/02\/30daymapchallenge-2021-day-2-lines\/"},"wordCount":204,"commentCount":2,"publisher":{"@id":"https:\/\/rud.is\/b\/#\/schema\/person\/d7cb7487ab0527447f7fda5c423ff886"},"image":{"@id":"https:\/\/rud.is\/b\/2021\/11\/02\/30daymapchallenge-2021-day-2-lines\/#primaryimage"},"thumbnailUrl":"https:\/\/rud.is\/b\/wp-content\/uploads\/2021\/11\/healthfit-directory-530x556.png","keywords":["30DayMapChallenge"],"articleSection":["gis","R"],"inLanguage":"en-US","potentialAction":[{"@type":"CommentAction","name":"Comment","target":["https:\/\/rud.is\/b\/2021\/11\/02\/30daymapchallenge-2021-day-2-lines\/#respond"]}]},{"@type":"WebPage","@id":"https:\/\/rud.is\/b\/2021\/11\/02\/30daymapchallenge-2021-day-2-lines\/","url":"https:\/\/rud.is\/b\/2021\/11\/02\/30daymapchallenge-2021-day-2-lines\/","name":"#30DayMapChallenge 2021 Day 2: Lines - rud.is","isPartOf":{"@id":"https:\/\/rud.is\/b\/#website"},"primaryImageOfPage":{"@id":"https:\/\/rud.is\/b\/2021\/11\/02\/30daymapchallenge-2021-day-2-lines\/#primaryimage"},"image":{"@id":"https:\/\/rud.is\/b\/2021\/11\/02\/30daymapchallenge-2021-day-2-lines\/#primaryimage"},"thumbnailUrl":"https:\/\/rud.is\/b\/wp-content\/uploads\/2021\/11\/healthfit-directory-530x556.png","datePublished":"2021-11-02T18:55:42+00:00","breadcrumb":{"@id":"https:\/\/rud.is\/b\/2021\/11\/02\/30daymapchallenge-2021-day-2-lines\/#breadcrumb"},"inLanguage":"en-US","potentialAction":[{"@type":"ReadAction","target":["https:\/\/rud.is\/b\/2021\/11\/02\/30daymapchallenge-2021-day-2-lines\/"]}]},{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/rud.is\/b\/2021\/11\/02\/30daymapchallenge-2021-day-2-lines\/#primaryimage","url":"https:\/\/i0.wp.com\/rud.is\/b\/wp-content\/uploads\/2021\/11\/healthfit-directory.png?fit=748%2C784&ssl=1","contentUrl":"https:\/\/i0.wp.com\/rud.is\/b\/wp-content\/uploads\/2021\/11\/healthfit-directory.png?fit=748%2C784&ssl=1","width":748,"height":784},{"@type":"BreadcrumbList","@id":"https:\/\/rud.is\/b\/2021\/11\/02\/30daymapchallenge-2021-day-2-lines\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https:\/\/rud.is\/b\/"},{"@type":"ListItem","position":2,"name":"#30DayMapChallenge 2021 Day 2: Lines"}]},{"@type":"WebSite","@id":"https:\/\/rud.is\/b\/#website","url":"https:\/\/rud.is\/b\/","name":"rud.is","description":""In God we trust. 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