shapefile_mask_data做地图mask时报错

Lizhengpeng · 发表于 2020-4-5 20:39:25

xhw0734 发表于 2016-9-9 18:04
shapefile_mask_data: Error: not a valid rectilinear, curvilinear, or unstructured grid；这个错误已解 ...

请问怎么指定呀，原数据是1d

ymz · 发表于 2020-6-8 20:02:58

你好请问这个问题怎样解决的，

大到暴雨 · 发表于 2021-4-1 11:30:40

subtropical 发表于 2018-7-25 17:27
楼主我也用这个shapefile_mask_data,但是报错是这样的，请问要怎么修改？

你好，我也遇到了相同的问题，请问你是怎样解决的呢

肠胃猫 · 发表于 2021-6-8 13:01:14

lb369 发表于 2018-9-10 12:30
目前该函数只能再二维中使用,且数据必须具有经纬度属性。所以用conform_dims函数填充三维数组，但是每个格 ...

你好，咨询一下，有点不太明白您说的conform_dims函数填充三维数组，因为这个函数只能处理2d数据，那我该怎么拿它去选择3d数据呢

15104562864 · 发表于 2021-6-21 17:04:35

楼主好，我也是这个问题，一直没解决，是否可以提供一份修改好的shapefile_utils.ncl，万分感谢，397022276@qq.com

眼里有星辰 · 发表于 2022-1-18 21:52:52

15104562864 发表于 2021-6-21 17:04
楼主好，我也是这个问题，一直没解决，是否可以提供一份修改好的shapefile_utils.ncl，万分感谢，

;======================================================================
; This function masks a rectilinear, curvilinear, or unstructured
; data array based on either all the outlines in a shapefile, or
; based on a string variable name in a shapefile and a list of strings
; to check for, like "Water body" or (/"Ohio","Michigan"/).
;
; You have the option to return the mask array, rather than the masked
; data array.
;
; Input paramaters
; data : numeric - 1D or 2D data to mask or base mask array on
; shp_file_name[1] : string - Name of shapefile
; opt[1] : logical - Use to set options for this function. If
; set to False, then all options will be ignored.
;
; "opt" can have the following attributes:
;
; "keep" - Whether to keep the values in the given shapefile
; areas or toss them.
; [default True]
;
; "shape_var" - Name of variable on shapefile that contains the
; string names of specific areas you want to mask.
; [default is to use the whole shapefile]
;
; "shape_names" - List of string names in "shape_name" to mask against
; [no default]
;
; "return_mask" - Whether to return a mask array (0s and 1s)
; instead of the masked data.
; [default False]
;
; "minlat", "maxlat", "minlon", "maxlon" - You can tell the masking
; routine what rough lat/lon box you are interested
; in, so that it doesn't check every lat/lon segment
; in the shapefile.
; [default is the min/max of the lat/lon on shapefile]
;
; "loop_check" - Whether to do a min/max lat/lon check for every loop iteration.
; I tested this on four examples, and it sped every one of them up.
; I decided to make this True by default.;
; [default True]
; "debug" - Whether to print debug information.
; [default False]
;
; - If a rectilinear grid, then "data" must have coordinate arrays
; attached.
; - If a curvilinear grid, then "data" must have the special lat2d
; and lon2d attributes attached.
; - If a unstructured grid, then "data"must have the special lat1d
; and lon1d attributes attached.
;======================================================================
undef("shapefile_mask_data")
function shapefile_mask_data(data:numeric,shp_file_name[1]:string,\
opt[1]:logical)
local mask_start_time, mask_end_time,keep_true_value, keep_false_value, \
dims, rank, grid_type, lat1d, lon1d, nlatlon1d, f, segments, geometry, \
segsDims, geomDims, geom_segIndex, geom_numSegs, segs_xyzIndex,
segs_numPnts,numFeatures, lat, lon, shp_mask_names, found, nf, numFeatures, \
startSegment, numSegments, seg, startPT, endPT, lon_sub, lat_sub, \
min_lat_shp, max_lat_shp, min_lon_shp, max_lon_shp
begin
mask_start_time = get_cpu_time()
;---Make sure we can open shapefile
if(.not.isfilepresent(shp_file_name)) then
print("shapefile_mask_data : Error: " + shp_file_name + \
" either doesn't exist or is not a valid shapefile.")
exit
end if
f = addfile(shp_file_name,"r")
;---Parse options and check for errors
DEBUG = get_res_value_keep(opt,"debug",False)
KEEP = get_res_value_keep(opt,"keep",True)
RETURN_MASK = get_res_value_keep(opt,"return_mask",False)
LOOP_CHECK = get_res_value_keep(opt,"loop_check",True)
SHP_VAR = opt.and.isatt(opt,"shape_var")
if(opt.and.isatt(opt,"shape_var")) then
if(.not.isatt(opt,"shape_names")) then
print("shapefile_mask_data : Error: if you set 'shape_var' you must also set 'shape_names'")
exit
end if
shp_var_name = opt@shape_var
usr_mask_names = opt@shape_names
;---Make sure shp_var_name is on shapefile.
if(isfilevar(f,shp_var_name)) then
shp_mask_names = f->$shp_var_name$
else
print("shapefile_mask_data : Error: The given variable name to use does not exist on the given shapefile.")
exit
end if
;---Make sure usr_mask_names has at least one match in shp_mask_names
num_found = 0
nusr_mask_names = dimsizes(usr_mask_names)
do i=0,nusr_mask_names-1
if(any(usr_mask_names(i).eq.shp_mask_names)) then
num_found = num_found+1
end if
end do
if(num_found.eq.0) then
print("shapefile_mask_data : Error: none of the given mask_names match the names on the shapefile.")
exit
end if
if(num_found.lt.nusr_mask_names) then
print("shapefile_mask_data : warning: Only found " + num_found + \
" of the " + nusr_mask_names)
print(" given mask_names on the shapefile.")
end if
end if
if(KEEP) then
keep_true_value = 1 ; 1 ==> values inside given mask areas will be kept
keep_false_value = 0
else
keep_true_value = 0 ; 0 ==> values inside given mask areas will be tossed
keep_false_value = 1
end if
;---Determine the grid type
dims = dimsizes(data)
rank = dimsizes(dims)
grid_type = ""
if(rank.eq.2.and.\
isdimnamed(data,0).and.iscoord(data,data!0).and.\
isdimnamed(data,1).and.iscoord(data,data!1)) then
lat1d = ndtooned(conform_dims(dims,data&$data!0$,0))
lon1d = ndtooned(conform_dims(dims,data&$data!1$,1))
grid_type = "rectilinear"
else if(rank.eq.2.and.all(isatt(data,(/"lat2d","lon2d"/)))) then
;---Curvilinear
lat1d = ndtooned(data@lat2d)
lon1d = ndtooned(data@lon2d)
if(product(dims).eq.dimsizes(lat1d).and.\
product(dims).eq.dimsizes(lon1d)) then
grid_type = "curvilinear"
end if
else if(rank.eq.1.and.all(isatt(data,(/"lat1d","lon1d"/)))) then
;---Unstructured
lat1d = data@lat1d
lon1d = data@lon1d
if(dims.eq.dimsizes(lat1d).and.\
product(dims).eq.dimsizes(lon1d)) then
grid_type = "unstructured"
end if
end if
end if
end if
if(grid_type.eq."") then
print("shapefile_mask_data: Error: not a valid rectilinear, curvilinear, or unstructured grid")
exit
end if
nlatlon1d = dimsizes(lat1d)
;---Read data off the shapefile
segments = f->segments
geometry = f->geometry
segsDims = dimsizes(segments)
geomDims = dimsizes(geometry)
;---Read global attributes
geom_segIndex = f@geom_segIndex
geom_numSegs = f@geom_numSegs
segs_xyzIndex = f@segs_xyzIndex
segs_numPnts = f@segs_numPnts
numFeatures = geomDims(0)
;---Read shapefile lat/lon
lon = f->x
lat = f->y
;
; If shp_var_name is specified, then get the approximate lat/lon box that
; encloses the shapefile areas of interest. This can make the
; gc_inout checking go faster later. If the user has input
; all four "usr_min/max_lat/lon" attributes, then don't do the check.
;
if(SHP_VAR.and..not.(opt.and.isatt(opt,"minlat").and.isatt(opt,"maxlat").and.\
isatt(opt,"minlon").and.isatt(opt,"maxlon"))) then
found = False
do nf=0,numFeatures-1
if(any(shp_mask_names(nf).eq.usr_mask_names)) then
startSegment = geometry(nf, geom_segIndex)
numSegments = geometry(nf, geom_numSegs)
do seg=startSegment, startSegment+numSegments-1
startPT = segments(seg, segs_xyzIndex)
endPT = startPT + segments(seg, segs_numPnts) - 1
lat_sub := lat(startPT:endPT)
lon_sub := lon(startPT:endPT)
if(found) then
min_lat_shp = min((/min_lat_shp,min(lat_sub)/))
max_lat_shp = max((/max_lat_shp,max(lat_sub)/))
min_lon_shp = min((/min_lon_shp,min(lon_sub)/))
max_lon_shp = max((/max_lon_shp,max(lon_sub)/))
else
min_lat_shp = min(lat_sub)
max_lat_shp = max(lat_sub)
min_lon_shp = min(lon_sub)
max_lon_shp = max(lon_sub)
found = True
end if
end do
end if
end do
else
;---Use the whole shapefile
min_lat_shp = min(lat)
max_lat_shp = max(lat)
min_lon_shp = min(lon)
max_lon_shp = max(lon)
end if
;--lat/lon coordinates of data array
min_lat_data = min(lat1d)
max_lat_data = max(lat1d)
min_lon_data = min(lon1d)
max_lon_data = max(lon1d)
;---min/max lat/lon to use for checking the data lat/lon
min_lat_chk = get_res_value(opt,"minlat",min_lat_shp)
max_lat_chk = get_res_value(opt,"maxlat",max_lat_shp)
min_lon_chk = get_res_value(opt,"minlon",min_lon_shp)
max_lon_chk = get_res_value(opt,"maxlon",max_lon_shp)
;---Get index values where data lat/lon values fall inside this "box".
if(.not.LOOP_CHECK) then
ii_latlon = ind(min_lat_chk.le.lat1d.and.lat1d.le.max_lat_chk.and.\
min_lon_chk.le.lon1d.and.lon1d.le.max_lon_chk)
nii = dimsizes(ii_latlon)
end if
if(DEBUG) then
print("==================================================")
print("Shapefile: " + shp_file_name)
if(SHP_VAR) then
print("Areas of interest: " + str_join(usr_mask_names,","))
else
print("Areas of interest: the whole shapefile")
end if
print("min_lat_chk: " + min_lat_chk)
print("max_lat_chk: " + max_lat_chk)
print("min_lon_chk: " + min_lon_chk)
print("max_lon_chk: " + max_lon_chk)
print("min_lat_data: " + min_lat_data)
print("max_lat_data: " + max_lat_data)
print("min_lon_data: " + min_lon_data)
print("max_lon_data: " + max_lon_data)
print(dimsizes(lat1d) + " data values originally")
if(.not.LOOP_CHECK) then
print(nii + " data values within given shapefile areas.")
end if
if(keep_true_value.eq.1) then
print("Will keep data values inside given shapefile areas")
else
print("Will toss data values inside given shapefile areas")
end if
end if
;---Create array to hold new data mask
data_mask_1d = new(nlatlon1d,integer)
data_mask_1d = keep_false_value
;
; Setting opt@loop_check = True seems to produce the best results, timing-wise.
; Maybe get rid of the "else" part of this "if" statement at some point?
;
if(LOOP_CHECK) then
do nf=0,numFeatures-1
if(.not.SHP_VAR.or.(SHP_VAR.and.\
any(shp_mask_names(nf).eq.usr_mask_names))) then
startSegment = geometry(nf, geom_segIndex)
numSegments = geometry(nf, geom_numSegs)
do seg=startSegment, startSegment+numSegments-1
startPT = segments(seg, segs_xyzIndex)
endPT = startPT + segments(seg, segs_numPnts) - 1
lat_sub := lat(startPT:endPT)
lon_sub := lon(startPT:endPT)
ii_latlon := ind(min(lat_sub).le.lat1d.and.lat1d.le.max(lat_sub).and.\
min(lon_sub).le.lon1d.and.lon1d.le.max(lon_sub))
if(any(ismissing(ii_latlon))) then
continue
end if
nii = dimsizes(ii_latlon)
do n=0,nii-1
iltln = ii_latlon(n)
if(data_mask_1d(iltln).ne.keep_true_value.and.\
gc_inout(lat1d(iltln),lon1d(iltln),lat_sub,lon_sub)) then
data_mask_1d(iltln) = keep_true_value
end if
end do
end do
end if
end do
else
do n=0,nii-1
iltln = ii_latlon(n)
do nf=0,numFeatures-1
if(data_mask_1d(iltln).ne.keep_true_value.and.\
(.not.SHP_VAR.or.(SHP_VAR.and.\
any(shp_mask_names(nf).eq.usr_mask_names)))) then
startSegment = geometry(nf, geom_segIndex)
numSegments = geometry(nf, geom_numSegs)
do seg=startSegment, startSegment+numSegments-1
startPT = segments(seg, segs_xyzIndex)
endPT = startPT + segments(seg, segs_numPnts) - 1
lat_sub := lat(startPT:endPT)
lon_sub := lon(startPT:endPT)
if(.not.(all(lon_sub.lt.min_lon_data).or. \
all(lon_sub.gt.max_lon_data).or. \
all(lat_sub.lt.min_lat_data).or. \
all(lat_sub.gt.max_lat_data)).and.\
gc_inout(lat1d(iltln),lon1d(iltln),lat_sub,lon_sub)) then
data_mask_1d(iltln) = keep_true_value
break
end if
end do
end if
end do
end do
end if
if(DEBUG) then
print("==================================================")
if(KEEP) then
print(num(data_mask_1d.eq.keep_true_value) + " data values kept")
else
print(num(data_mask_1d.ne.keep_true_value) + " data values kept")
end if
end if
;
; Create a 2D data array of same size as original data,
; but with appropriate values masked. Create a missing
; value if our data doesn't have one.
;
if(.not.isatt(data,"_FillValue")) then
data_msg = default_fillvalue(typeof(data))
else
data_msg = data@_FillValue
end if
;---Keep all the locations where the mask array is 1.
if(RETURN_MASK) then
data_mask = onedtond(data_mask_1d,dims)
else
data_mask = where(onedtond(data_mask_1d,dims).eq.1,data,data_msg)
copy_VarMeta(data,data_mask) ; Copy all metadata
if(.not.isatt(data,"_FillValue")) then
data_mask@_FillValue = data_msg
end if
end if
if(DEBUG) then
;---Print timings
mask_end_time = get_cpu_time()
print("shapefile_mask_data: elapsed time: " + \
(mask_end_time-mask_start_time) + " CPU seconds.")
print("==================================================")
end if
return(data_mask)
end

复制代码

保存为ncl文件然后load一下，不知道怎么插入文件只能这样了

Alpha_su · 发表于 2023-4-11 11:10:49

yybubble 发表于 2018-9-9 21:08
您好，我指定了lon2d和lat2d还是没有用，依然报错，是什么情况呢~

你检查一下经纬度数据的行列数与你的二维数据行列数是否一致？我改正了这个错误就解决了。

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