shapefile

问题 has anyone had any experience with ISOBUS Iso-XML (ISO 11783-10)? I would like to convert some geojson and/or shapefiles (.shp) to this format but am having trouble finding any information. 回答1: The specification of ISO 11783-10 is not free. You can buy the specification (google for "ISO 11783-10" ), the documentation is high quality and affordable (I'm not affiliated in any way). The bought documents are distributed with some "license" and will be marked with your name, so buyers will be

问题 has anyone had any experience with ISOBUS Iso-XML (ISO 11783-10)? I would like to convert some geojson and/or shapefiles (.shp) to this format but am having trouble finding any information. 回答1: The specification of ISO 11783-10 is not free. You can buy the specification (google for "ISO 11783-10" ), the documentation is high quality and affordable (I'm not affiliated in any way). The bought documents are distributed with some "license" and will be marked with your name, so buyers will be

问题 I have a map of Chile (http://labgeo.ufro.cl/fichas/chile_geo/ficha_cl_geo.html first link that says "Chile continental) and would like to plot it and add some points of centers for which I have latitude and longitud data. I am newbie with geopandas and matplotlib but I managed to plot the map with the centers as dots of different colors using the suggested answer for matplotlib from this post: Color by Column Values in Matplotlib Here is my code: #Loading data, since I am making the

问题 I am trying to store spatial data in the form of geojson,csv files and shape files into elasticsearch USING PYTHON.I am new to elasticsearch and even after following the documentation i am not able to successfully index it. Any help would be appreciated. sample geojson file : { "type": "FeatureCollection", "features": [ { "type": "Feature", "properties": { "ID_0": 105, "ISO": "IND", "NAME_0": "India", "ID_1": 1288, "NAME_1": "Telangana", "ID_2": 15715, "NAME_2": "Telangana", "VARNAME_2": null

问题 I am trying to store spatial data in the form of geojson,csv files and shape files into elasticsearch USING PYTHON.I am new to elasticsearch and even after following the documentation i am not able to successfully index it. Any help would be appreciated. sample geojson file : { "type": "FeatureCollection", "features": [ { "type": "Feature", "properties": { "ID_0": 105, "ISO": "IND", "NAME_0": "India", "ID_1": 1288, "NAME_1": "Telangana", "ID_2": 15715, "NAME_2": "Telangana", "VARNAME_2": null

问题 I am trying to store spatial data in the form of geojson,csv files and shape files into elasticsearch USING PYTHON.I am new to elasticsearch and even after following the documentation i am not able to successfully index it. Any help would be appreciated. sample geojson file : { "type": "FeatureCollection", "features": [ { "type": "Feature", "properties": { "ID_0": 105, "ISO": "IND", "NAME_0": "India", "ID_1": 1288, "NAME_1": "Telangana", "ID_2": 15715, "NAME_2": "Telangana", "VARNAME_2": null

问题 I have a specific question: How can I choose either fill or color of a ggplot according to the data of an SpatialPolygonsDataFrame-object? For example consider the following SpatialPolygonsDataFrame sf: sf <- readShapePoly("somePolygonShapeFile") It allows me to access the the example data field FK like: sf$FK // or sf@data$FK Now, I want to prepare a simple ggplot: p <- ggplot(sf, aes(x=long, y=lat, group=group, FK=???)) However, I don't know what to pass to FK in aes(). Experiences from

问题 I have 2 shapefiles for the UK: In [3]: # SHAPEFILE 1: ...: # WESTMINISTER PARLIAMENTARY CONSTITUENCY UK SHAPEFILE ...: shapefile1 = "../Westminster_Parliamentary_Constituencies_De ...: cember_2017_UK_BSC_SUPER_SMALL/Westminster_Parliamentary_Constituencies_ ...: December_2017_UK_BSC.shp" In [4]: # SHAPEFILE 2: ...: # LAD19 UK SHAPEFILE ...: shapefile2 = "../03_Maps_March_2020/level3_LAD19_CONTAINS_4_L ...: EVELS_OF_DETAIL/Local_Authority_Districts_December_2019_Boundaries_UK_BU ...: C/Local

问题 I would like to expand on this function. As of now, the function downloads and unzips the shape file from the web. I would like to implement 'rgdal' to read the file into R. library(rgdal) dlshape=function(location) { temp=tempfile() download.file(location, temp) unzip(temp) } I found the following code on SO, but I was unsuccessful in adapting it. It appears that the function still looks at the first file unzipped rather than grep for a file ending with the .shp extension. read.csv.zip <-

问题 Question I have a set of shapefiles for different Bus Routes (Each route has 2 Trips) for Cairo. I wanted to check if they pass by certain stations using R: Stops_Data <- readOGR("Stackoverflow Data/","Stops_Data") Trips_Data <- readOGR("Stackoverflow Data/","Trips_Data") plot(Trips_Data) points(Stops_Data, col = "red") I try to match them using over(). First, I make sure the Projections are identical. proj4string(Trips_Data) <- proj4string(Stops_Data) over(Stops_Data, Trips_Data) This only