Nothing
## ----include = FALSE----------------------------------------------------------
knitr::opts_chunk$set(
collapse = TRUE,
message = FALSE,
warning = FALSE,
echo = TRUE,
comment = "#>"
)
## ----setup, echo = FALSE------------------------------------------------------
library(robotoolbox)
library(dplyr)
library(sf)
library(mapview)
mapview::mapviewOptions(
fgb = FALSE,
basemaps = c(
"Esri.WorldImagery",
"Esri.WorldShadedRelief",
"OpenTopoMap",
"OpenStreetMap"),
layers.control.pos = "topright")
## ----asset_list, echo = FALSE-------------------------------------------------
l <- asset_list
## ----eval = FALSE-------------------------------------------------------------
# library(robotoolbox)
# library(dplyr)
#
# # Retrieve a list of all assets (projects) from your KoboToolbox server
# asset_list <- kobo_asset_list()
#
# # Filter the asset list to find the specific project and get its unique identifier (uid)
# uid <- filter(asset_list, name == "Spatial data") |>
# pull(uid)
#
# # Load the specific asset (project) using its uid
# asset <- kobo_asset(uid)
# asset
## ----echo = FALSE-------------------------------------------------------------
asset <- asset_spatial
asset
## ----eval = FALSE-------------------------------------------------------------
# df <- kobo_data(asset)
# glimpse(df)
## ----echo = FALSE-------------------------------------------------------------
df <- data_spatial
glimpse(df)
## -----------------------------------------------------------------------------
pull(df, point)
pull(df, point_wkt)
## -----------------------------------------------------------------------------
df |>
select(starts_with("point_"))
## -----------------------------------------------------------------------------
pull(df, line)
pull(df, line_wkt)
## -----------------------------------------------------------------------------
pull(df, polygon)
pull(df, polygon_wkt)
## -----------------------------------------------------------------------------
point_sf <- st_as_sf(data_spatial,
wkt = "point_wkt", crs = 4326)
mapview(point_sf)
## -----------------------------------------------------------------------------
line_sf <- st_as_sf(data_spatial,
wkt = "line_wkt", crs = 4326)
mapview(line_sf)
## -----------------------------------------------------------------------------
poly_sf <- st_as_sf(data_spatial,
wkt = "polygon_wkt", crs = 4326)
mapview(poly_sf)
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