[R-sig-Geo] Mapping my own polygon?
Kevin Zembower
kev|n @end|ng |rom zembower@org
Sun Jun 11 16:58:57 CEST 2023
Hi, Mike, thanks for answering me from across the world!
I created my polygon of my neighborhood the old fashion way: by printing
a map with a grid in meters, and using a pair of navigational dividers
to pick off the x and y coordinates of the borders of my neighborhood.
You can see a map of my neighborhood, drawn by someone else, at
https://www.radnorwinston.org/, if you're curious.
Here's code to generate a map of this area, one with degrees lat/long,
and the one I used, with a grid of meters:
===========================================
## This gives degrees lat long:
library(tidyverse)
library(tigris)
options(tigris_use_cache = TRUE)
library(sf)
library(OpenStreetMap)
lat_max <- 39.3525
long_max <- -76.617
lat_min <- 39.3455
long_min <- -76.6095
nw <- c(lat_max, long_max)
se <- c(lat_min, long_min)
rw_map <- openmap(nw, se,
type = "osm",
mergeTiles = TRUE) %>%
openproj() %>%
OpenStreetMap::autoplot.OpenStreetMap() +
xlab("long") + ylab("lat")
rw_map
## This gives map with grid in meters:
library(tidyverse)
library(tidycensus)
library(sf)
library(tmap)
library(tigris)
options(tigris_use_cache = TRUE)
library(tmaptools)
rw_block_list <- c("3000", "3001", "3002", "3005", "3006", "3007",
"3008", "3009", "3010", "3011", "3012")
## Get the RW blocks from the census:
rw_blocks <- blocks(state = "MD",
county = "Baltimore city",
year = "2020") %>%
filter(substr(GEOID20, 6, 11) == "271101" &
substr(GEOID20, 12, 15) %in% rw_block_list)
## Create a map of just the RW blocks:
rw_base_blocks <- read_osm(bb(rw_blocks, ext = 1.3))
tmap_mode("plot")
(RW_block_map <- tm_shape(rw_base_blocks) +
tm_rgb() +
tm_shape(rw_blocks) +
tm_fill("MAP_COLORS", alpha = 0.2, palette = "Accent", n = 10) +
tm_borders() +
tm_scale_bar() +
tm_grid() + tm_xlab("Long") + tm_ylab("Lat") +
tm_layout(title = "Radnor-Winston Neighborhood")
)
===================================================
You're right, that I did pick my example "1 POINT (-76.61246 39.35010)"
just by picking a random point in my neighborhood, using Google Maps.
In the second example that gives the grid in meters, I just assumed that
this was CRS 6487, due to it being Maryland and in meters. Was this a
bad assumption? How can I tell what the CRS of the return of the call to
"read_osm(bb(rw_blocks, ext = 1.3))" is? When I display it, it says:
> rw_base_blocks
stars object with 3 dimensions and 1 attribute
attribute(s), summary of first 1e+05 cells:
Min. 1st Qu. Median Mean 3rd Qu. Max.
X 0 217 224 219.915 238 255
dimension(s):
from to offset delta refsys
values x/y
x 1 663 -8528854 1.19942 WGS 84 / Pseudo-Mercator
NULL [x]
y 1 907 4772338 -1.19981 WGS 84 / Pseudo-Mercator
NULL [y]
band 1 3 NA NA NA red , green,
blue
>
Thanks, again, for your work to help me. Thanks also for introducing me
to Github Gist, which I had never heard of before. I'm going to go to
that page next and see if I can put this response in there.
Take care.
-Kevin
On 6/11/23 04:04, Michael Sumner wrote:
> I took a guess that your coordinates are not in EPSG:6487 but in global
> Mercator (EPSG:3857) which seems to give a reasonable region from online
> image servers.
>
> https://gist.github.com/mdsumner/e6997c2f4a54c743e078aca8401537a0
> <https://gist.github.com/mdsumner/e6997c2f4a54c743e078aca8401537a0>
>
> If that looks ok? Then, simply replace 6487 with 3857 in your code,
> but also please take care to track down where your neighbourhood
> coordinates for the x,y range came from. 3857 is the infamous global
> google mercator, and that might be what you're using or simply close to
> it, you should make sure you know. :)
>
> I'm using in-dev code in the example, it's not because I want you to
> use that or advise you to - it's just to keep a record of what I did. I
> experimented with the code and scale to guess at what might be the problem.
>
> If the pic in my gist is not on the right track I'm happy to follow up,
> best of luck!
>
> HTH, Mike
>
>
>
> On Sun, Jun 11, 2023 at 5:27 AM Kevin Zembower via R-sig-Geo
> <r-sig-geo using r-project.org <mailto:r-sig-geo using r-project.org>> wrote:
>
> In my continuing work on reporting on US Census data for my
> neighborhood, I'd like to draw a map of the boundaries of it. I was
> successful in creating and printing an OSM basemap, with the US Census
> blocks that make up my neighborhood on it.
>
> Now, I'd like to create my own polygon, of the boundaries of my
> neighborhood, because the census blocks don't line up exactly with the
> neighborhood boundaries. I need help creating a polygon that I can
> submit to read_osm() that will correctly return an OSM map of my area.
>
> Here's what I've tried so far:
> ## Reproducible simple example:
> library(tidyverse)
> library(sf)
>
> rw <- data.frame( ## Simplified neighborhood rectangle
> Longitude = c(-8528150, -8528500, -8528500, -8528150),
> Latitude = c( 4771475, 4771475, 4771880, 4771880)
> )
>
> rw ## Returns (as expected):
>
> > rw
> Longitude Latitude
> 1 -8528150 4771475
> 2 -8528500 4771475
> 3 -8528500 4771880
> 4 -8528150 4771880
> >
>
> rw %>%
> st_as_sf(coords = c("Longitude", "Latitude"), dim = "XY") %>%
> st_set_crs(6487) %>% ## CRS 6487 is NAD83 (2011) Maryland in
> meters
> st_transform(crs = 4269) ## CRS 4269 is NAD83
>
> ## Returns:
>
> Simple feature collection with 4 features and 0 fields
> Geometry type: POINT
> Dimension: XY
> Bounding box: xmin: 171.777 ymin: 24.65904 xmax: 171.7818 ymax:
> 24.66314
> Geodetic CRS: NAD83
> geometry
> 1 POINT (171.7818 24.66192)
> 2 POINT (171.7806 24.65904)
> 3 POINT (171.777 24.66026)
> 4 POINT (171.7781 24.66314)
> >
>
> I expected the POINTS to look like:
> 1 POINT (-76.61246 39.35010)
>
> Can anyone suggest what I'm doing wrong? Thanks so much in advance.
> I've
> worked on it all day today, without making much progress.
>
> -Kevin
>
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>
>
> --
> Michael Sumner
> Software and Database Engineer
> Australian Antarctic Division
> Hobart, Australia
> e-mail: mdsumner using gmail.com <mailto:mdsumner using gmail.com>
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