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‎vignettes/bcdata.Rmd‎

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@@ -140,9 +140,10 @@ bcdc_search_facets(facet = "license_id")
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#> 11 license_id 52 Open Data Licence - Office of the Registrar of Lobbyists for British Columbia
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#> 12 license_id 45 Open Data Commons - Public Domain Dedication and Licence
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#> 13 license_id 25 King's Printer Licence - British Columbia
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#> 14 license_id 42 Elections BC Open Data Licence
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#> 15 license_id 51 BC Energy Regulator Open Data License
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#> 16 license_id 22 Access Only
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#> 14 license_id 54 ICI Society Data Sharing Licence
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#> 15 license_id 42 Elections BC Open Data Licence
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#> 16 license_id 51 BC Energy Regulator Open Data License
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#> 17 license_id 22 Access Only
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#> count
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#> 1 80
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#> 2 2
@@ -151,15 +152,16 @@ bcdc_search_facets(facet = "license_id")
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#> 5 5
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#> 6 3
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#> 7 62
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#> 8 1672
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#> 8 1683
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#> 9 2
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#> 10 5
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#> 11 1
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#> 12 2
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#> 13 1
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#> 14 19
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#> 15 5
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#> 16 1457
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#> 14 6
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#> 15 19
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#> 16 6
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#> 17 1447
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```
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Finally, you can retrieve the _metadata_ for a single catalogue record by using the record name or permanent ID with `bcdc_get_record()`. It is advised to use the permanent ID rather than the human-readable name in non-interactive situations---like scripts---to guard against future name changes of a record:
@@ -192,7 +194,7 @@ Once you have located the B.C. Data Catalogue record with the data you want, you
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``` r
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## Get the data resource for the `bc-highwaycams` catalogue record
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bcdc_get_data("bc-highwaycams")
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#> # A tibble: 1,035 × 13
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#> # A tibble: 1,034 × 13
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#> links_bchighwaycam links_imageDisplay links_imageThumbnail links_replayTheDay id
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#> <chr> <chr> <chr> <chr> <dbl>
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#> 1 https://images.drivebc.ca/bchig… https://images.dr… https://images.driv… https://images.dr… 2
@@ -205,13 +207,13 @@ bcdc_get_data("bc-highwaycams")
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#> 8 https://images.drivebc.ca/bchig… https://images.dr… https://images.driv… https://images.dr… 11
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#> 9 https://images.drivebc.ca/bchig… https://images.dr… https://images.driv… https://images.dr… 12
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#> 10 https://images.drivebc.ca/bchig… https://images.dr… https://images.driv… https://images.dr… 13
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#> # ℹ 1,025 more rows
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#> # ℹ 1,024 more rows
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#> # ℹ 8 more variables: highway_number <chr>, highway_locationDescription <chr>, camName <chr>,
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#> # caption <chr>, credit <chr>, orientation <chr>, latitude <dbl>, longitude <dbl>
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## OR use the permanent ID, which is better for scripts or non-interactive use
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bcdc_get_data("6b39a910-6c77-476f-ac96-7b4f18849b1c")
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#> # A tibble: 1,035 × 13
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#> # A tibble: 1,034 × 13
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#> links_bchighwaycam links_imageDisplay links_imageThumbnail links_replayTheDay id
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#> <chr> <chr> <chr> <chr> <dbl>
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#> 1 https://images.drivebc.ca/bchig… https://images.dr… https://images.driv… https://images.dr… 2
@@ -224,14 +226,14 @@ bcdc_get_data("6b39a910-6c77-476f-ac96-7b4f18849b1c")
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#> 8 https://images.drivebc.ca/bchig… https://images.dr… https://images.driv… https://images.dr… 11
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#> 9 https://images.drivebc.ca/bchig… https://images.dr… https://images.driv… https://images.dr… 12
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#> 10 https://images.drivebc.ca/bchig… https://images.dr… https://images.driv… https://images.dr… 13
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#> # ℹ 1,025 more rows
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#> # ℹ 1,024 more rows
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#> # ℹ 8 more variables: highway_number <chr>, highway_locationDescription <chr>, camName <chr>,
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#> # caption <chr>, credit <chr>, orientation <chr>, latitude <dbl>, longitude <dbl>
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## OR use the result from bcdc_get_record()
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my_record <- bcdc_get_record("6b39a910-6c77-476f-ac96-7b4f18849b1c")
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bcdc_get_data(my_record)
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#> # A tibble: 1,035 × 13
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#> # A tibble: 1,034 × 13
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#> links_bchighwaycam links_imageDisplay links_imageThumbnail links_replayTheDay id
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#> <chr> <chr> <chr> <chr> <dbl>
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#> 1 https://images.drivebc.ca/bchig… https://images.dr… https://images.driv… https://images.dr… 2
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#> 8 https://images.drivebc.ca/bchig… https://images.dr… https://images.driv… https://images.dr… 11
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#> 9 https://images.drivebc.ca/bchig… https://images.dr… https://images.driv… https://images.dr… 12
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#> 10 https://images.drivebc.ca/bchig… https://images.dr… https://images.driv… https://images.dr… 13
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#> # ℹ 1,025 more rows
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#> # ℹ 1,024 more rows
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#> # ℹ 8 more variables: highway_number <chr>, highway_locationDescription <chr>, camName <chr>,
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#> # caption <chr>, credit <chr>, orientation <chr>, latitude <dbl>, longitude <dbl>
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```

‎vignettes/efficiently-query-spatial-data-in-the-bc-data-catalogue.Rmd‎

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---
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title: "Querying Spatial Data with bcdata"
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date: "2026-02-06"
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date: "2026-07-08"
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output: rmarkdown::html_vignette
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vignette: >
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%\VignetteIndexEntry{Querying Spatial Data with bcdata}
@@ -194,28 +194,28 @@ Again we recognize this is [WFS-enabled](https://en.wikipedia.org/wiki/Web_Featu
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``` r
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bcdc_query_geodata("6a2fea1b-0cc4-4fc2-8017-eaf755d516da")
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#> Querying 'local-and-regional-greenspaces' record
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#> • Using collect() on this object will return 9212 features and 19 fields
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#> • Using collect() on this object will return 9488 features and 19 fields
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#> • At most six rows of the record are printed here
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#> ────────────────────────────────────────────────────────────────────────────────────────────────────
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#> Simple feature collection with 6 features and 19 fields
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#> Geometry type: POLYGON
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#> Geometry type: MULTIPOLYGON
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#> Dimension: XY
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#> Bounding box: xmin: 1205933 ymin: 459093.3 xmax: 1212220 ymax: 460485.6
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#> Bounding box: xmin: 1205812 ymin: 461894.2 xmax: 1210343 ymax: 463217.4
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#> Projected CRS: NAD83 / BC Albers
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#> # A tibble: 6 × 20
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#> id LOCAL_REG_GREENSPACE…¹ PARK_NAME PARK_TYPE PARK_PRIMARY_USE REGIONAL_DISTRICT MUNICIPALITY
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#> <chr> <int> <chr> <chr> <chr> <chr> <chr>
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#> 1 WHSE_B… 49 Woodward… Local Park Metro Vancouver Richmond
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#> 2 WHSE_B… 50 Woodward… Local Park Metro Vancouver Richmond
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#> 3 WHSE_B… 51 Doggie P… Local Park Metro Vancouver Richmond
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#> 4 WHSE_B… 52 Bike Ter… Local Athletic Metro Vancouver Richmond
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#> 5 WHSE_B… 53 Great We… Local Trail Metro Vancouver Richmond
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#> 6 WHSE_B… 54 Imperial… Local Park Metro Vancouver Richmond
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#> 1 WHSE_B… 40 Wowk Nei… Local Park Metro Vancouver Richmond
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#> 2 WHSE_B… 41 Hugh Boy… Local Park Metro Vancouver Richmond
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#> 3 WHSE_B… 42 Sandifor… Local Park Metro Vancouver Richmond
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#> 4 WHSE_B… 43 Kozier N… Local Park Metro Vancouver Richmond
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#> 5 WHSE_B… 44 Maple La… Local Park Metro Vancouver Richmond
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#> 6 WHSE_B… 45 South Ar… Local Park Metro Vancouver Richmond
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#> # ℹ abbreviated name: ¹​LOCAL_REG_GREENSPACE_ID
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#> # ℹ 13 more variables: CIVIC_NUMBER <int>, CIVIC_NUMBER_SUFFIX <chr>, STREET_NAME <chr>,
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#> # LATITUDE <dbl>, LONGITUDE <dbl>, WHEN_UPDATED <date>, WEBSITE_URL <chr>,
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#> # LICENCE_COMMENTS <chr>, FEATURE_AREA_SQM <dbl>, FEATURE_LENGTH_M <dbl>, OBJECTID <int>,
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#> # SE_ANNO_CAD_DATA <chr>, geometry <POLYGON [m]>
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#> # SE_ANNO_CAD_DATA <chr>, geometry <MULTIPOLYGON [m]>
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```
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Since we are interested in only "Park" data we can subset our query:
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bcdc_query_geodata("6a2fea1b-0cc4-4fc2-8017-eaf755d516da") %>%
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filter(PARK_PRIMARY_USE == "Park")
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#> Querying 'local-and-regional-greenspaces' record
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#> • Using collect() on this object will return 4528 features and 19 fields
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#> • Using collect() on this object will return 4590 features and 19 fields
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#> • At most six rows of the record are printed here
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#> ────────────────────────────────────────────────────────────────────────────────────────────────────
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#> Simple feature collection with 6 features and 19 fields
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#> Geometry type: POLYGON
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#> Geometry type: MULTIPOLYGON
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#> Dimension: XY
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#> Bounding box: xmin: 1205029 ymin: 459093.3 xmax: 1212220 ymax: 461188.7
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#> Bounding box: xmin: 1205812 ymin: 461894.2 xmax: 1210343 ymax: 463217.4
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#> Projected CRS: NAD83 / BC Albers
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#> # A tibble: 6 × 20
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#> id LOCAL_REG_GREENSPACE…¹ PARK_NAME PARK_TYPE PARK_PRIMARY_USE REGIONAL_DISTRICT MUNICIPALITY
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#> <chr> <int> <chr> <chr> <chr> <chr> <chr>
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#> 1 WHSE_B… 49 Woodward… Local Park Metro Vancouver Richmond
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#> 2 WHSE_B… 50 Woodward… Local Park Metro Vancouver Richmond
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#> 3 WHSE_B… 51 Doggie P… Local Park Metro Vancouver Richmond
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#> 4 WHSE_B… 54 Imperial… Local Park Metro Vancouver Richmond
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#> 5 WHSE_B… 55 Stevesto… Local Park Metro Vancouver Richmond
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#> 6 WHSE_B… 56 Mariner'… Local Park Metro Vancouver Richmond
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#> 1 WHSE_B… 40 Wowk Nei… Local Park Metro Vancouver Richmond
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#> 2 WHSE_B… 41 Hugh Boy… Local Park Metro Vancouver Richmond
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#> 3 WHSE_B… 42 Sandifor… Local Park Metro Vancouver Richmond
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#> 4 WHSE_B… 43 Kozier N… Local Park Metro Vancouver Richmond
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#> 5 WHSE_B… 44 Maple La… Local Park Metro Vancouver Richmond
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#> 6 WHSE_B… 45 South Ar… Local Park Metro Vancouver Richmond
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#> # ℹ abbreviated name: ¹​LOCAL_REG_GREENSPACE_ID
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#> # ℹ 13 more variables: CIVIC_NUMBER <int>, CIVIC_NUMBER_SUFFIX <chr>, STREET_NAME <chr>,
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#> # LATITUDE <dbl>, LONGITUDE <dbl>, WHEN_UPDATED <date>, WEBSITE_URL <chr>,
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#> # LICENCE_COMMENTS <chr>, FEATURE_AREA_SQM <dbl>, FEATURE_LENGTH_M <dbl>, OBJECTID <int>,
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#> # SE_ANNO_CAD_DATA <chr>, geometry <POLYGON [m]>
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#> # SE_ANNO_CAD_DATA <chr>, geometry <MULTIPOLYGON [m]>
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```
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Here we see that this greatly reduces the number of features that we are dealing with (and correspondingly the amount of data that needs to be transferred over the web). Remember also that we still have not actually requested the full data set. This is just still a preview. Also this query still includes all municipal parks in BC while we only want the ones in the three school districts - the polygons defined by the `districts` object. To find that subset of parks we can make use of the built-in geometric operators which allow us to perform spatial operations remotely fine tuning our query even further. Here using the `INTERSECTS` function is appropriate and since this is a last tuning step, we can call `collect` and assign a name to this object. These requests can sometimes take quite a long:

‎vignettes/explore-silviculture-data-using-bcdata.Rmd‎

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title: "Exploring Silviculture Data with bcdata"
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date: "2026-02-06"
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date: "2026-07-08"
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output: rmarkdown::html_vignette
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vignette: >
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%\VignetteIndexEntry{Exploring Silviculture Data with bcdata}
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# Query the data using the permanent ID of the record to guard against name changes
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bcdc_query_geodata("258bb088-4113-47b1-b568-ce20bd64e3e3")
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#> Querying 'results-forest-cover-silviculture' record
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#> • Using collect() on this object will return 976169 features and 159 fields
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#> • Accessing this record requires pagination and will make 98 separate requests to the WFS.
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#> • Using collect() on this object will return 984709 features and 159 fields
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#> • Accessing this record requires pagination and will make 99 separate requests to the WFS.
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#> • See ?bcdc_options
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#> • At most six rows of the record are printed here
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#> ────────────────────────────────────────────────────────────────────────────────────────────────────
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``` r
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dim(trees_dpg)
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#> [1] 253 160
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#> [1] 259 160
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```
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We can see there are several treatment units planted with western larch, and we can make a quick map of these harvested openings for the Prince George Natural Resource District:

‎vignettes/local-filter.Rmd‎

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title: "Update to `filter()` behaviour in bcdata v0.4.0"
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date: "2026-02-06"
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date: "2026-07-08"
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output: rmarkdown::html_vignette
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vignette: >
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%\VignetteIndexEntry{Update to `filter()` behaviour in bcdata v0.4.0}
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## • At most six rows of the record are printed here
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## ────────────────────────────────────────────────────────────────────────────────────────────────────
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## Simple feature collection with 6 features and 19 fields
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## Geometry type: POLYGON
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## Geometry type: MULTIPOLYGON
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## Dimension: XY
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## Bounding box: xmin: 1187080 ymin: 409342.1 xmax: 1191300 ymax: 410578
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## Bounding box: xmin: 1199043 ymin: 387901.5 xmax: 1199503 ymax: 390352.7
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## Projected CRS: NAD83 / BC Albers
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## # A tibble: 6 × 20
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## id LOCAL_REG_GREENSPACE…¹ PARK_NAME PARK_TYPE PARK_PRIMARY_USE REGIONAL_DISTRICT MUNICIPALITY
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## <chr> <int> <chr> <chr> <chr> <chr> <chr>
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## 1 WHSE_B… 8423 Lillian … Local Park Capital North Saani…
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## 2 WHSE_B… 8422 Nymph Po… Local Park Capital North Saani…
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## 3 WHSE_B… 8447 H.M.S. P… Local Park Capital North Saani…
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## 4 WHSE_B… 8434 Wain Park Local Park Capital North Saani…
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## 5 WHSE_B… 8446 Prentice… Local Park Capital North Saani…
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## 6 WHSE_B… 8448 <NA> Local Park Capital North Saani…
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## 1 WHSE_B… 7806 Beach Ac… Local Water Access Capital District of…
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## 2 WHSE_B… 8020 Balmacar… Local Water Access Capital District of…
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## 3 WHSE_B… 7871 Vantreig… Local Park Capital District of…
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## 4 WHSE_B… 7844 Montague… Local Park Capital District of…
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## 5 WHSE_B… 7882 Houlihan… Local Park Capital District of…
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## 6 WHSE_B… 7895 Casa Mar… Local Green Space Capital District of…
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## # ℹ abbreviated name: ¹​LOCAL_REG_GREENSPACE_ID
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## # ℹ 13 more variables: CIVIC_NUMBER <int>, CIVIC_NUMBER_SUFFIX <chr>, STREET_NAME <chr>,
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## # ℹ 13 more variables: CIVIC_NUMBER <chr>, CIVIC_NUMBER_SUFFIX <chr>, STREET_NAME <chr>,
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## # LATITUDE <dbl>, LONGITUDE <dbl>, WHEN_UPDATED <date>, WEBSITE_URL <chr>,
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## # LICENCE_COMMENTS <chr>, FEATURE_AREA_SQM <dbl>, FEATURE_LENGTH_M <dbl>, OBJECTID <int>,
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## # SE_ANNO_CAD_DATA <chr>, geometry <POLYGON [m]>
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## # SE_ANNO_CAD_DATA <chr>, geometry <MULTIPOLYGON [m]>
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```
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There is another illustration in the ["querying spatial data vignette"](https://bcgov.github.io/bcdata/articles/efficiently-query-spatial-data-in-the-bc-data-catalogue.html#a-note-about-using-local-r-functions-in-constructing-filter-queries).

‎vignettes/vignette-fig-air_zones-1.png‎

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‎vignettes/vignette-fig-bbox-1.png‎

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‎vignettes/vignette-fig-district_parks-1.png‎

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‎vignettes/vignette-fig-districts-1.png‎

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‎vignettes/vignette-fig-dp_join-1.png‎

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‎vignettes/vignette-fig-map-larch-plantations-dpg-1.png‎

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