Я очень новичок в работе с геопространственными данными в R. У меня есть шейп-файл из нескольких квадрантов в моей области исследования, который я классифицировал на основе "quadID". Я могу нормально отображать свои данные с помощью пакетов ggplot и sf, однако мои данные, похоже, отображаются неправильно. При проверке файла формы на наличие какой-либо информации о пространственных данных, похоже, ничего нет:
> proj4string(quads)
Error in (function (classes, fdef, mtable) :
unable to find an inherited method for function ‘proj4string’ for signature ‘"sf"’
Я бы хотел, чтобы лаборатории x & y были в десятичных градусах. Я пытался назначить crs для моего файла, однако, я получаю эту ошибку.
> proj4string(quads) <- CRS("+proj=longlat +datum=WGS84")
Error in (function (classes, fdef, mtable) :
unable to find an inherited method for function ‘proj4string<-’ for signature ‘"sf", "CRS"’
Я также пытался использовать коды EPSG, но все равно получаю ошибку:
> proj4string(quads) <- CRS("+init=epsg:4979")
Error in CRS("+init=epsg:4979") : no options found in 'init' file
Я искал значение ошибок в Интернете, но, похоже, запутался в общем процессе обращения с пространственными данными, и ни одно из решений, с которыми я сталкиваюсь, похоже, не работает для меня. Если у кого-то есть понимание того, как я могу сделать эту работу, я был бы очень признателен! Вот мой полный код ниже, и я также включил снимок экрана того, как мой график выглядит в настоящее время, это хорошо, но оси X и Y соответствуют геометрии наблюдений, и я бы хотел, чтобы они были x и y экстент файла:
quads <- quads %>% #assigning quadID values to my .shp file
mutate(quadID = case_when(IDR_ID == 424 ~ "ZOI",
IDR_ID == 423 |between(IDR_ID, 425, 433) ~ "Adjacent",
between (IDR_ID, 365, 422) ~ "Transit",
TRUE ~ ""))
proj4string(quads) #attempting to look for a crs (I know there are none, but this is to check)
proj4string(quads) <- CRS("+proj=longlat +datum=WGS84") #attempting to assign a crs to my .shp
Fig1 <- ggplot(data = quads) +
geom_sf(aes(fill = quadID)) +
scale_fill_manual(values = c("#eefbfb",
"#6b8c42",
"#70b2ae",
"#d65a31")) +
theme_bw()
Fig1
Это образец моего .shp df
> head(SampleData)
Simple feature collection with 6 features and 3 fields
geometry type: MULTIPOLYGON
dimension: XY
bbox: xmin: 480283.2 ymin: 5206810 xmax: 514635.2 ymax: 5450114
CRS: NA
IDR_ID ORIGFQ geometry quadID
144 144 52 MULTIPOLYGON (((509774.1 54...
430 430 285 MULTIPOLYGON (((507829.6 52... Adjacent
183 183 152 MULTIPOLYGON (((482551.7 53...
45 45 391 MULTIPOLYGON (((481579.4 54...
139 139 80 MULTIPOLYGON (((480283.2 54...
195 195 21 MULTIPOLYGON (((501996.2 53...
> dput(SampleData)
structure(list(IDR_ID = c(144, 430, 183, 45, 139, 195, 227, 5,
162, 174), ORIGFQ = c(52, 285, 152, 391, 80, 21, 159, 383, 138,
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Спасибо за помощь!