sf package
install.packages("sf")The sf package is an R implementation of Simple Features.
This package incorporates:
a new spatial data class system in R
functions for reading and writing data
tools for spatial operations on vectors
sf
sf packagelibrary(sf)
fs::dir_tree(here("spatial_files", "kl_pop_centers"))C:/Users/Arun/Dropbox/Workshops/SummerSchool2024_GIS4PublicHealth/spatial_files/kl_pop_centers
├── kl_pop_centers.dbf
├── kl_pop_centers.prj
├── kl_pop_centers.shp
└── kl_pop_centers.shxshape_file <- here("spatial_files", "kl_pop_centers", "kl_pop_centers.shp")
kl_pop_centers <- st_read(shape_file)Reading layer `kl_pop_centers' from data source
`C:\Users\Arun\Dropbox\Workshops\SummerSchool2024_GIS4PublicHealth\spatial_files\kl_pop_centers\kl_pop_centers.shp'
using driver `ESRI Shapefile'
Simple feature collection with 170 features and 14 fields
Geometry type: POINT
Dimension: XY
Bounding box: xmin: 74.95388 ymin: 8.35761 xmax: 77.28071 ymax: 12.60804
Geodetic CRS: WGS 84sf objectkl_pop_centersSimple feature collection with 170 features and 14 fields
Geometry type: POINT
Dimension: XY
Bounding box: xmin: 74.95388 ymin: 8.35761 xmax: 77.28071 ymax: 12.60804
Geodetic CRS: WGS 84
First 10 features:
Rotation Scale name_of_to district state ELEVATION District_1
1 0 0 VADAKKANCHERI PALAKKAD KERALA 0 P>LAKK>D
2 0 0 ANGAMALI ERNAKULAM KERALA 0 ERN>KULAM
3 0 0 MALAYATLUR ERNAKULAM KERALA 0 ERN>KULAM
4 0 0 KALADI ERNAKULAM KERALA 0 ERN>KULAM
5 0 0 TOMALLUR PATTANAMTITTA KERALA 0 PATTANAMTHITTA
6 0 0 GURUVAYUR THRISSUR KERALA 0 TRISS@R
7 0 0 TRIMBRANALLUR THRISSUR KERALA 0 TRISS@R
8 0 0 KADIKKAD THRISSUR KERALA 0 TRISS@R
9 0 0 CHALAKUDI THRISSUR KERALA 0 TRISS@R
10 0 0 MALA THRISSUR KERALA 0 TRISS@R
STATE_1 TEHSIL Shape_Leng Shape_Area pop_2020 lon lat
1 KERALA >LATT@R 150475.2 578919605 456575 76.48236 10.591936
2 KERALA >LUVA 155736.4 550828742 615928 76.38866 10.200267
3 KERALA >LUVA 155736.4 550828742 615928 76.51483 10.197496
4 KERALA >LUVA 155736.4 550828742 615928 76.43405 10.167068
5 KERALA AD@R 110539.2 270281878 187760 76.68601 9.227245
6 KERALA CH>LAKKUDI 376808.1 1270626860 1153806 76.04651 10.598107
7 KERALA CH>LAKKUDI 376808.1 1270626860 1153806 76.10642 10.523958
8 KERALA CH>LAKKUDI 376808.1 1270626860 1153806 75.96130 10.681153
9 KERALA CH>LAKKUDI 376808.1 1270626860 1153806 76.34039 10.308017
10 KERALA CH>LAKKUDI 376808.1 1270626860 1153806 76.26185 10.250355
geometry
1 POINT (76.48236 10.59194)
2 POINT (76.38866 10.20027)
3 POINT (76.51483 10.1975)
4 POINT (76.43405 10.16707)
5 POINT (76.68601 9.227245)
6 POINT (76.04651 10.59811)
7 POINT (76.10642 10.52396)
8 POINT (75.9613 10.68115)
9 POINT (76.34039 10.30802)
10 POINT (76.26185 10.25036)sf objectkl_pop_centers %>%
ggplot() +
geom_sf()
sf objectkl_pop_centers %>%
ggplot() +
geom_sf(aes(color = district))
sf package
sf package
sfmethods(class="sf") [1] $<- [
[3] [[<- [<-
[5] aggregate anti_join
[7] arrange as.data.frame
[9] cbind coerce
[11] dbDataType dbWriteTable
[13] distinct dplyr_reconstruct
[15] drop_na duplicated
[17] filter full_join
[19] gather group_by
[21] group_split identify
[23] initialize inner_join
[25] left_join merge
[27] mutate nest
[29] pivot_longer pivot_wider
[31] plot print
[33] rbind rename
[35] rename_with right_join
[37] rowwise sample_frac
[39] sample_n select
[41] semi_join separate
[43] separate_rows show
[45] slice slotsFromS3
[47] spread st_agr
[49] st_agr<- st_area
[51] st_as_s2 st_as_sf
[53] st_as_sfc st_bbox
[55] st_boundary st_break_antimeridian
[57] st_buffer st_cast
[59] st_centroid st_collection_extract
[61] st_concave_hull st_convex_hull
[63] st_coordinates st_crop
[65] st_crs st_crs<-
[67] st_difference st_drop_geometry
[69] st_filter st_geometry
[71] st_geometry<- st_inscribed_circle
[73] st_interpolate_aw st_intersection
[75] st_intersects st_is
[77] st_is_valid st_join
[79] st_line_merge st_m_range
[81] st_make_valid st_minimum_rotated_rectangle
[83] st_nearest_points st_node
[85] st_normalize st_point_on_surface
[87] st_polygonize st_precision
[89] st_reverse st_sample
[91] st_segmentize st_set_precision
[93] st_shift_longitude st_simplify
[95] st_snap st_sym_difference
[97] st_transform st_triangulate
[99] st_triangulate_constrained st_union
[101] st_voronoi st_wrap_dateline
[103] st_write st_z_range
[105] st_zm summarise
[107] transform transmute
[109] ungroup unite
[111] unnest
see '?methods' for accessing help and source codesfkl_pop_centers %>%
mapview::mapview()
https://posit.co/wp-content/uploads/2022/10/sf.pdf
Immediate: The time from action to insight is reducing dramatically
Fresh: Primary data needs to be days or months old not years old
Multi-source: Competitive alternative sources for completeness or validation
Continuous: Analysis can no longer be a point in time
Automated: Possibility to continuously replicate and connect to decision tools