geospatial

问题 I’m a Chinese reader of book “Applied Spatial Data Analysis with R”, which is very useful for spatial analysis work. I tried to translate the R code into python with the Rpy2, since python can handle more complex data sources. But I have a problem with the Rpy2 code. The NY8 data is attached with the email. The R code is: library(rgdal) NY8<-readOGR(".","NY8_utm18") Syracuse<-NY8[NY8$AREANAME=="Syracuse city",] Sy2_nb<-poly2nb(Syracuse,queen=FALSE) library(spdep) Sy2_nb<-poly2nb(Syracuse

问题 I’m a Chinese reader of book “Applied Spatial Data Analysis with R”, which is very useful for spatial analysis work. I tried to translate the R code into python with the Rpy2, since python can handle more complex data sources. But I have a problem with the Rpy2 code. The NY8 data is attached with the email. The R code is: library(rgdal) NY8<-readOGR(".","NY8_utm18") Syracuse<-NY8[NY8$AREANAME=="Syracuse city",] Sy2_nb<-poly2nb(Syracuse,queen=FALSE) library(spdep) Sy2_nb<-poly2nb(Syracuse

问题 I am using Apache Jena Fuseki Server for Storing Geo Coordinates of location. How to find out that if two polygons or two rectangles intersect each other inside Fuseki. Please share links related to it if possible. Thank you. 来源： https://stackoverflow.com/questions/61187841/how-to-find-the-polygons-intersection-inside-apache-fuseki-server

问题 I am using Apache Jena Fuseki Server for Storing Geo Coordinates of location. How to find out that if two polygons or two rectangles intersect each other inside Fuseki. Please share links related to it if possible. Thank you. 来源： https://stackoverflow.com/questions/61187841/how-to-find-the-polygons-intersection-inside-apache-fuseki-server

问题 I am using Apache Jena Fuseki Server for Storing Geo Coordinates of location. How to find out that if two polygons or two rectangles intersect each other inside Fuseki. Please share links related to it if possible. Thank you. 来源： https://stackoverflow.com/questions/61187841/how-to-find-the-polygons-intersection-inside-apache-fuseki-server

问题 UPDATE 2020-03-04 Using MySql Server 8.0.19 I am able to successfully validate this GeoJSON using SELECT ST_IsValid(ST_GeomFromGeoJSON(geojson)) FROM test; The data type for geojson column is json . ORIGINAL QUESTION I'm new to the geospatial game, and it appears very much non-trivial! The headlines suggest Cosmos db supports GeoJSON out of the box with the exception that ST_WITHIN() doesn't support holes. Not a problem. So I loaded up all the of the available "polygons" from https:/

问题 UPDATE 2020-03-04 Using MySql Server 8.0.19 I am able to successfully validate this GeoJSON using SELECT ST_IsValid(ST_GeomFromGeoJSON(geojson)) FROM test; The data type for geojson column is json . ORIGINAL QUESTION I'm new to the geospatial game, and it appears very much non-trivial! The headlines suggest Cosmos db supports GeoJSON out of the box with the exception that ST_WITHIN() doesn't support holes. Not a problem. So I loaded up all the of the available "polygons" from https:/

问题 UPDATE 2020-03-04 Using MySql Server 8.0.19 I am able to successfully validate this GeoJSON using SELECT ST_IsValid(ST_GeomFromGeoJSON(geojson)) FROM test; The data type for geojson column is json . ORIGINAL QUESTION I'm new to the geospatial game, and it appears very much non-trivial! The headlines suggest Cosmos db supports GeoJSON out of the box with the exception that ST_WITHIN() doesn't support holes. Not a problem. So I loaded up all the of the available "polygons" from https:/

问题 UPDATE 2020-03-04 Using MySql Server 8.0.19 I am able to successfully validate this GeoJSON using SELECT ST_IsValid(ST_GeomFromGeoJSON(geojson)) FROM test; The data type for geojson column is json . ORIGINAL QUESTION I'm new to the geospatial game, and it appears very much non-trivial! The headlines suggest Cosmos db supports GeoJSON out of the box with the exception that ST_WITHIN() doesn't support holes. Not a problem. So I loaded up all the of the available "polygons" from https:/

问题 There two data frames with disparate information. The only columns they have in common are datetime and lat/long fields. Can one create a third data frame using R or an R package (or possibly Python/Pandas) that takes a subset of rows from both data frames by similar date and lat/long fields? The joins should be fuzzy, not exact, plus/minus an hr and tenth a degree. Input Example: df_1 Datetime Latitude Longitude 2018-10-01 08:27:10 34.8014080 103.8499800 2018-09-30 04:55:51 43.3367432 44