CKAN - Vector Storer Extension error
Ok, finally I considered what Denis advice me and I opened an issue to the team of publicamundi. They said me the following: This extension is not meant to be used as a standalone CKAN extension (anymore). Instead, it's integrated as a plugin into ckanext-publicamundi extension (https://github.com/PublicaMundi/ckanext-publicamundi). Actually, the error...
Difference in $geoWithin and $geoIntersects operators?
From $geoIntersects: Selects documents whose geospatial data intersects with a specified GeoJSON object; i.e. where the intersection of the data and the specified object is non-empty. This includes cases where the data and the specified object share an edge. From $geoWithin: Selects documents with geospatial data that exists entirely within...
Use of Planet.osm with osmDroid for offline maps
android,geolocation,geospatial,openstreetmap,osmdroid
No, not as you would expect it. The Planet contains raw vector data whereas osmdroid needs pre-rendered raster tiles. You would need a renderer on your mobile device but rendering is a very ressource-intensive task and not really suited for mobile devices. Unless you are using pre-processed data (and ideally...
What's the best way to determine if a point is within a certain distance of a GEOJSON polygon?
geometry,gis,geospatial,geojson,turfjs
Yes, you can use buffer in conjunction with inside to find points within 10 miles of something else, eg, expanding on the existing examples, var pt = point(14.616599, -90.548630) var unit = 'miles' var buffered = buffer(pt, 10, unit) var ptTest = point(-1, 52) var bIn = inside (ptIn, buffer)...
MongoDB: Using $geoIntersects or $geoWithin with $near in one query
This requires an aggregate pipeline. As per mogodb doc for $geoNear, You can only use $geoNear as the first stage of a pipeline. The aggregate function has an entry for an additional query which is where the polygon query will be used to narraw down results based on inclusion in...
Waypoint matching query for MongoDB or Elasticsearch
mongodb,elasticsearch,mongodb-query,geospatial
This did start as a comment but was clearly getting way to long. So it's a long explanation of the limitations and the approach. The bottom line of what you are asking to achieve here is effectively a "union query" which is generally defined as two separate queries where the...
Get zoom value from google maps encoded string
google-maps,zoom,polygon,geospatial
Process the path returned from google.maps.geometry.encoding.decodePath(googlePolygon) to create a bounds object for it, then use google.maps.Map.fitBounds with that bounds. var polyPath = google.maps.geometry.encoding.decodePath(googlePolygon); var bounds = new google.maps.LatLngBounds(); for (var i=0; i < polyPath.length; i++) { bounds.extend(polyPath[i]); } map.fitBounds(bounds); ...
MongoDb Polygon Search Query returns no result
java,mongodb,geometry,geospatial,boundbox
Okay, so the Java MongoDB driver query for the points in the polygone for a GeoJson strcuture like this is BasicDBList points = new BasicDBList(); points.add(bbox.getNe()); points.add(bbox.getSe()); points.add(bbox.getSw()); points.add(bbox.getNw()); points.add(bbox.getNe()); BasicDBList parentList = new BasicDBList(); parentList.add(points); Set<Object> data = new CopyOnWriteArraySet<Object>(); DBObject query = new BasicDBObject("geometry", new BasicDBObject("$geoWithin", new BasicDBObject("$geometry",...
MBRContains distance from location help MySQL
mysql,performance,optimization,geospatial
The purpose of MBRContains() is to exploit a MySQL geospatial index. When you have lat and lng in their own columns, MBRContains() won't help performance at all. But you can do bounding-rectangle calculations directly with your column values. When you do that, you use the BETWEEN operator to find appropriate...
Add MySQL geospatial Point column in Laravel 4 migration
mysql,laravel,laravel-4,geospatial
You should use statement method: DB::statement("ALTER TABLE meetings ADD COLUMN geolocation POINT"); Update About the second question, you can access to database.php file like this: if (Config::get('database')['default'] === 'mysql'){ // mysql }else if (Config::get('database')['default'] === 'pgsql'){ // PostgreSQL } ...
NodeJS find country by Lat/Lon
javascript,node.js,geolocation,geospatial
Here is a package for that: https://github.com/vkurchatkin/which-country The API is quite simple: var wc = require('which-country'); console.log(wc([-100, 40])); // prints "USA" it uses R-tree under the hood, so it's much faster than linear scan (O(log n), I suppose)....
MongoError: can't find any special indices: 2d (needs index), 2dsphere (needs index) $nearSphere
node.js,mongodb,geospatial,mongodb-query
it turned out my bug was related to this issue Bugreport Mongodb Updating my mongodb solved it. Now the code works as expected....
Elasticsearch with geo location
mongodb,elasticsearch,geospatial
Here's one example of a geo filter with a match_all query. And here's another example with sorting.
Mongoose aggregation with geonear
node.js,mongodb,mongoose,geospatial,aggregation-framework
You can use the aggregation framework for this and there is no real penalty as the operations are essentially the same. But while the mongoose .find() method presently has a problem with the $nearSphere operator which is equivalent, you can always grab the raw node driver connection object and do...
How to transfer longlat format DEM data to utm
Use raster::projectRaster() or (not in R) gdalwarp to transform raster.
Combining a BTREE and Geographical / SPATIAL index to speed up my query?
mysql,performance,indexing,latitude-longitude,geospatial
If all you need is a bounding-rectangle search the spatial index will yield best performance. But that's not what you need. You need, I believe, to search for a certain single value in a type column, and a lat/long bounding box range. It is not possible to create a compound...
finding value of a point between measured points on a 2D plane
This is the same algorithm for interpolating the height of a point from a triangle. In your case you don't have z values for heights, but some other float value for each triangle vertex, but it's the same concept, still 3D points. Where you have 3D triangle points p, q,...
Is it possible to use a document field as radius with distance function in Google search API?
google-app-engine,geospatial,google-search-api
The search API does not support queries on the form fieldname = other_fieldname. Everything on the right side of the relational operator is interpreted as a constant to search for. How big is the maximum possible radius compared to the smallest possible one? If the difference isn't unreasonably big, perhaps...
Nearest neighbour in SAS
Your best bet is to look into the clustering procedures, as KNN style clustering is pretty close to what you want (and at minimum cluster analysis can get you to a 'set' of neighbors to check). PROC MODECLUS, PROC FASTCLUS, PROC CLUSTER all give you some value here, as does...
MySQL Spatial Simplify Geometries
I am afraid there is no simplify function in MySQL spatial. I filed that as a feature request five years ago, and you can see it has received no attention since then. You have a number of options depending on whether you want to do this as a one off,...
PHP Data Type For MySQL POINT Field
php,mysql,geospatial,spatial,sqldatatypes
This should fix your issue: $latlng = 'POINT(' . $json['results'][0]['geometry']['location']['lat']. " " . $json['results'][0]['geometry']['location']['lng']. ')'; and then wrap your :latlon with PointFromText: $sql = 'INSERT INTO Venues (Name, Street, City, State, Zip, Country, TimeZone, LatLon, Phone, Email, Website, Host, Notes) VALUES (:name, :street, :city, :state, :zip, :country, :timezone, PointFromText(:latlon), :phone,...
Grouping by Polygons in MongoDB
ruby,mongodb,polygon,geospatial
When you want to group, you need to use the aggregation framework. You will need an aggregation pipeline with two steps and an optional 3rd step: The above query with a $match operator (by the way: the $and is unnecessary. You can put "geometry.coordinates" and "properties.time" in the same associative...
How can ggplot2 keep jittered locations within a map boundary, such as a US state?
You can make your own jitter function that jitters the data. Then use the function pnt.in.poly from SDMTools to check if the point is inside the polygon. Otherwise you just jitter the original point again. See below for an example: require(SDMTools) bounded_jitter <- function(mapping, data, bounds, width, height, ...){ #...
Using geospatial commands in rethinkdb with changefeed
You can't use .getIntersecting with .changes, but you can write essentially the same query by adding a filter after .changes that checks if the loc is within the circle. While .changes limits what you can write before the .changes, you write basically any query after the .changes and it will...
2dsphere Index on Document with Valid GEOJSON Polygon Fails with Error: Can't extract geo keys from object, malformed geometry?
If you visualize the polygon on GeoJsonLint and look on the west side near 50th street, you'll see the polygon's boundary crosses itself. Note that the two points: [ -73.999830926513672, 40.764034571533203 ], [ -74.00409698486328, 40.76323318481445 ] Are causing the polygon to overlap itself and that is not a correctly formed...
MongoDB geospatial search by zip
That is not how a Geo-spatial index works or really how the queries should work either. Consider that when you created the index your statement was likely something like this: db.zipcodes.ensureIndex({ "loc": "2d" }) So you have asked for a 2d index to be created on the "loc" field, which...
How to search documents with MongoDB geospatial queries within nearest cities in country?
mongodb,geolocation,geospatial
Most of the "heavy lifting" if this is really done by the general geospatial query itself, so long as you are using operations like $near or ideally $nearSphere with a 2dsphere index to allow for the curvature of the earth. Such queries basically find the "nearest" points to the queried...
Updated Spatial data for Germany on county level
Are the openstreetmap administrative areas appropriate? http://download.geofabrik.de/europe/germany.html
a failed attempt at placing a dot over an image based on known lat and lng points
javascript,google-maps,geospatial,latitude-longitude
Assuming the area is a parallelogram, you'll need to know 3 of the vertices of the area and the width/height of the area where you want to draw the pin(e.g. the floorplan-image). The following will use the Geo-and LatLon-libraries from http://www.movable-type.co.uk/scripts/latlong.html An image for better understanding: initially calculate some values:...
MongoDB geospatial difference between $near and $within
The main differences are $near sorts based on distance from a point; $geoWithin tests for containment in a polygon or multipolygon with GeoJSON coordinates, or containment in one of a set of shapes for 2d coordinates $near returns document from nearest to farthest and any other order requires in-memory sorting;...
Find Mongoid geospacial circles that contain a point
Modelling a "circle" is a valid approach by specifying a "centre" and a "radius", but finding things "within the circle" is generally straightforward if not immediately obvious: Service.collection.aggregate([ # Get the distance from the current location { "$geoNear" => { "near" => { "type" => "Point", "coordinates" => [ 1,...
guide/information on building an offline mapping Android application using nutiteq
android,dictionary,geolocation,geospatial,nutiteq
It depends what data you want to map. Assuming you use latest Nutiteq Maps SDK 3.x: For offline base maps part see Nutiteq developer portal offline packages For offline map overlays there are several options, and you can choose for example between following Data Sources: For custom app logic use...
MySQL geospatial functions to identify whether a rectangle have points in a non uniform four sided polygon and vice versa
select * from( (SELECT * FROM table WHERE ST_Intersects(geomfromtext( 'POLYGON(( $rectanglePoint1X $rectanglePoint1Y, $rectanglePoint2X $rectanglePoint2Y,$rectanglePoint3X $rectanglePoint3Y,$rectanglePoint4X $rectanglePoint4Y,$rectanglePoint1X $rectanglePoint1Y))') , geomfromtext( 'POLYGON(( $polygonPoint1X $polygonPoint1Y, $polygonPoint2X $polygonPoint2Y,$polygonPoint3X $polygonPoint3Y,$polygonPoint4X $polygonPoint4Y,$polygonPoint1X $polygonPoint1Y))'))) union(SELECT * FROM usgs_data_repo WHERE ST_Contains(geomfromtext(...
How to add a SpatialPolygons to a bubble plot in R
A workaround is to use a custom panel function: bubble(pp, "att", panel=function(...) { sp.polygons(SpP, fill="blue") sp:::panel.bubble(...) }) ...
MongoDB does not return all points in MaxDistance
I changed query to use within instead of near and now it works fine $radiusOfEarth = 6378.1;//radius in km $calculated_distance = (float) $distance / $radiusOfEarth; $search = array( 'loc' => array('$within' => array('$centerSphere' => array( array(floatval($lng), floatval($lat)), $calculated_distance ) ) ) ); or [loc] => Array ( [$within] => Array...
Mongo $near query takes 6s on 1.2 millions documents
database,mongodb,query-optimization,bigdata,geospatial
"n" : 1568220 in the explain output means that the query returned 1.5 million docs. So that would explain why it took so long. Using a much smaller $maxDistance is probably a better test....
Implementing Insertion/Deletion/QueryRange in a Region-Quad tree?
javascript,data-structures,geospatial,region,quadtree
If I understand the wikipedia article the region quadtree holds a bitmap with the full region at each level and the point quadtree holds the convex hull with 4 points.
MongoDB geoNear command result distance in kilometer
mongodb,gps,distance,geospatial,geojson
The distances are being returned in meters. To convert to kilometers, divide by 1000. You can have MongoDB do this using the distanceMultiplier option: db.runCommand({ "geoNear" : "test", "spherical" : true, "distanceMultiplier" : 0.001, "near" : { "type" : "Point" , "coordinates" : [33.2926487, 44.4159651] } }) ...
TSQL Geography Spatial Data Polygon Lat/Long Search
sql-server-2008-r2,polygon,geospatial,sqlgeography
In short, yes it is possible. I would suggest you start with the following MSDN link and do a little research from there: Working with Spatial Data Specifically, note the following methods available for use in getting your answer: STWithin() STIntersects() Please note that with SQL 2008 R2, you are...
ElasticSearch QueryParsingException failed to find geo_point field
The problem is mapping.you need to use geo_point in mapping.. refer this .
RavenDB - How to can one make a WithinRadiusOf(radius,lat,lng) query where radius is a document property?
ravendb,geospatial,spatial-query
You cannot ask this question as stated. Instead of storing a radius, store a circle shape from the location, then you can call intersect on that.
How to convert a dataframe into a gstat object in R? Specifically a gstatVariogram
r,type-conversion,geospatial,gstat,covariogram
After creating raw.vgm, you have to set its class by class(raw.vgm) = c("gstatVariogram", "data.frame") then, fit.variogram also expects that a variogram has an np field, with the number of pairs of points used; I'm setting it to one by raw.vgm$np = rep(1, nrow(raw.vgm)) and finally the default fit.method assumes you...
Clustering latitude longitude points in Python with fixed number of clusters
python,gis,geospatial,latitude-longitude,k-means
Have you tried kmeans? the issue raised in the liked question seems to be with points that are close to 180 degrees. If your points are all close enough together (like in the same city or country for example) then kmeans might work OK for you.
Finding the distance of a coords from the begning of a route in Python
Rather than buffering a geometry, which is expensive and imperfect (since buffering requires a number of segments and many other options), just see if the point is within a distance threshold: if route.distance(p) <= r: return route.project(p) Also, you probably realised by now that your distance units are in degrees....
C# SQL Geometry Error: Invalid operator for data type. Operator equals equal to, type equals geometry
c#,asp.net,sql-server,geospatial
The data type allows for certain operations and is not as standard. the solution I found was: string cmd2 = "SELECT Circle_ID FROM Circle WHERE Center_Point.STEquals(geometry::STGeomFromText('POINT("; cmd2 += center_lat; cmd2 += " "; cmd2 += center_lng; cmd2 += ")',0)) = 1;"; // 1 = TRUE This post helped me out....
how to search within a polygon in solr 4.10
Your Solr Version must be 4 or higher and you have to import the JTS jar-file. You also have to define a field with a fieldType of "solr.SpatialRecursivePrefixTreeFieldType". Then you can query using a filter query like fq=geo:"Intersects(10.12 50.02)". But please see my previous post or http://wiki.apache.org/solr/SolrAdaptersForLuceneSpatial4 for more detailed...
Calculate a boundary from set of geo locations
php,mongodb,geolocation,geospatial,geo
Found the solution, apparently the best approach is to calculate the border from application end using "convex hull" algorithm and then query.
SQL-Server 2008 R2 geoSpatial query error for Circular String
sql,sql-server-2008,geospatial,spatial,spatial-query
As far as I can tell from the docs, CircularString was only added for SQL Server 2012. The only other instantiable curve appears to be LineString which, as the name suggests, encodes a sequence of line segments. So your best bet would be approximating the circle as a (possibly regular)...
Error : increasing 'x' and 'y' values expected in persp {fields}
The problem is the argument z and the ordering of both x and y. As shadow mentions in the comments this needs to be a matrix of dim(z) = length(x) x length(y) in this case 100x100. And apparently x and y need to be both ordered at the same time...
Getting geodjango query to return distance as an attribute?
python,django,geospatial,geodjango
I had the same problem and the reason was that "In order to conduct geographic queries, each geographic model requires a GeoManager model manager." https://docs.djangoproject.com/en/1.8/ref/contrib/gis/model-api/#django.contrib.gis.db.models.GeoManager The solution would be to add objects = models.GeoManager() to your Location model from django.contrib.gis.db import models class Location(models.Model): ... objects = models.GeoManager() ...
How to check if DbGeography objects overlap
sql,polygon,geospatial,spatial
For whoever it may be useful, I have eventually used 'Intersects' method which seems to be working fine
Interpolate Spatial Data
r,ggplot2,geospatial,interpolate
The problem is that akima::interp does not fill in every entry. So as you look in the only one "corner" of your data, you only see NA's. You need to "scroll down" to see the interpolated values. It only fills in the region where there is data: library(akima) # should...
Spring Data- MongoDB geoNear not getting distributed in replicaset
It turned out that spring-data-mongodb does not pass the read preference specified on mongoTemplate to the underlying com.mongodb.Mongo connection pool - for aggregations. It would pass the read preference for simple find operations. We had to modify our spring configuration - not using spring data's mongo:mongo which did not provide...
Geohash not generated in Elastic search
elasticsearch,geolocation,geospatial,geohashing
As per the document enabling geohash flag in geo_point indexes the geohash value . There is a difference in what is indexed and what the _source field of the response represents. The _source field in the response is the original raw json document that is passed for indexing to elasticsearch....
should i create a vertical partition for geospatial data on a large table
sql,indexing,sql-server-2012,geospatial,partitioning
Short answer - yes. After splitting the table in two, one with just the geometry it seems that the geometry queries are overall faster. The performance of the full text queries is about the same. I suspect this is because the new table with only geometry data is much smaller...
Serve clients with geospatial news
The index used by MongoDB for geospatial indexing is based on a geohash, which essentially converts a 2 dimensional space into a one-dimensional key, suitable for B-tree indexing. While this is somewhat less efficient than an R-tree index it will be vastly more efficient than your scenario 1. I would...
Check if location is within a certain distance of a set of other locations using R
r,match,geospatial,distance,latitude-longitude
Is it this, want you were looking for? d <- outer(1:nrow(journey), 1:nrow(POI), FUN=function(i, j) earth.dist(journey[i,"lng"], journey[i,"lat"], POI[j,"lng"], POI[j, "lat"])) apply(apply(d, 1, "-", POI$rad) < 0, 2, function(x) POI$station[x]) ...
How can I plot a georeferenced dataset in R?
Your latitude values in this csv are reverted when compared to the dataset you previously had from the previous question you mentioned. All you have to do is to invert the row numbers in this new dataset: Right after your line: all_data = read.table("windspeed.txt",header = TRUE) Invert the row numbers...
how to configure solr4.10 for geo spatial search for polygon
Just place jts-1.13 in solr-4.10.1/example/solr-webapp/webapp/WEB-INF/lib directory, now data will index fine
spatial clustering in R (simple example)
r,geospatial,spatial,hierarchical-clustering
What about something like this: lat<-c(1,2,3,10,11,12,20,21,22,23) lon<-c(5,6,7,30,31,32,50,51,52,53) km <- kmeans(cbind(lat, lon), centers = 3) plot(lon, lat, col = km$cluster, pch = 20) ...
mapping all of Latin America with rworldmap
One way is to select out the countries you are interested in, get the bounding box for these using the bbox function, and then use that to specify the xlim and ylim. Continuing from after your code: #select out your countries sPDFmyCountries <- sPDF[sPDF$NAME %in% df$country,] #use the bbox to...
Failure when searching for all polygons near a point using mongoose/mongodb
node.js,mongodb,mongoose,geospatial,geojson
The 2dshpere index should be created on the loc property, not the coordinates property. Try changing your index statement to: AreaSchema.index({loc: '2dsphere'}); Also, indexes are created in the background, sometimes taking a while to be generated, depending on the amount of existing data in the collection. Since your insert and...
GDAL show me a possible path error
python,django,postgresql,geospatial,spatial
You must inform the dynamic loader that the new directory with .so libs exists and should be used. add the /path/to/your/libdir/ to one of the textfiles in /etc/ld.so.conf.d/ (the other postgres / postgis libs {postgres,geos,proj4} will probably already be there somewhere) run ldconfig (as root) (probably) restart postgres ...
Using MySQL 'POINT' and PHP to insert Latitude and Longitude points through a form
You need something like SET point_LatLon = GeomFromText('POINT(45.1234 123.4567)') in which the parameter you pass to GeomFromText is a character string like POINT(45.1234 123.4567) I have found that this sort of construct works well if I have two numeric parameters, where ? are the placeholders for those lat and lon...
T-SQL opposite of UnionAggregate to disaggregate a multipoint table
sql-server,tsql,geometry,geospatial,spatial
I'm assuming that you ultimately just want the list of distinct points. Assuming that you have a numbers table, here's what I'd do: select @g.STPointN(n.n) from dbo.Numbers as n where n.n <= @g.STNumPoints(); Where @g is the result of your UnionAggregate....
Sorting users by distance in mysql using st_distance
php,mysql,geolocation,geospatial
Is it possible to do this entirely through SQL using points and the st_distance function, or will I have to make some changes and use the haversine formula instead? As documented under Geometry Class: Geometry is the root class of the hierarchy. It is a noninstantiable class but has...
Model.solr_search not working for geospatial filter
ruby-on-rails-4,solr,geospatial,sunspot-solr
I am really sorry to open this issue, I am stupid who have created searches_controller_backup.rb which had old code that was not configured with geospatial filter functionality. The problem was everything was working but because rails was loading searches_controller codes from backup file, it was suppose to looks like it...
geo-spacial density based clustering [closed]
sql,database,cluster-analysis,geospatial,computational-geometry
You can try a voronoi diagram. A voronoi diagram is the dual of a delaunay triangulation with some useful properties: https://alastaira.wordpress.com/2011/04/25/nearest-neighbours-voronoi-diagrams-and-finding-your-nearest-sql-server-usergroup.
Polygon data not getting inserted in MySQL
mysql,polygon,geospatial,spatial
Seems like a bug with SQLYog GUI. The data is getting inserted into the MYSQL properly but SQLYog does not show the same. Had to manually check from the mysql command prompt. The data was indeed present in the database. If the query fired is incorrect, then SQLyog will show...
Bottom-up parsing for sqlite R*TREE
sqlite,data-structures,geolocation,geospatial,r-tree
SQLite always searches from the top of the tree. This might not hurt because the top-level entries are most likely to be cached. If you really want to do bottom-up parsing, you have to implement it manually. Database files can be opened from any accessible file system. ...
MySQL geospatial query - return nearest row
mysql,sql,geospatial,database-performance
First, you have a bit of redundancy in your expression for selecting the distance. I believe you can use glength(LineString(coordinates,POINT(663.422238,10.398996))) AS distance rather than what you have. That might help a bit with performance, but it won't help much. The query as constructed performs a full table scan on your...
Mongodb - Find the nearest point to a supplied polygon
I don't think mongo support passing a polygon to the $near operator. So my first guess would be to try to find the closest document for each points located on the edge of your polygon. Unfortunately you will not be able to compare the distance between each results since mongo...
geospatial index with another multikey index… Any solutions?
mongodb,indexing,geospatial,mongodb-query,multikey
True, you can only index on a a single array type of field within a single compound index of a collection, but you seem to be talking about "geo-spatial" queries which are something a little different. There is nothing wrong with this at all: db.collection.ensureIndex({ "location": "2d", "product_list": 1 })...
Corners from a SQLGeometry
sql-server,geospatial,sqlgeometry
Since you're using an envelope, it will be a box that's aligned to the axes. It looks to me as though it starts enumerating the corners at the SE and goes counter-clockwise. So, we just need to grab the 1st and 3rd points. declare @g geometry = geometry::STGeomFromText('POLYGON ((-179.231086 51.175092,...
Using ensureIndex for locations in publications in Meteor
javascript,mongodb,meteor,geospatial
Try dropping the current index and create the 2dsphere index, specifying the location field as the key not the coordinates array. To first remove the index and keep your data you can connect to the mongo shell by typing the following into your terminal from your app's root directory (while...
Elasticsearch geospatial search, problems with index setup
There are a couple issues in your code: Issue 1: When you create your document in the second snippet, you're not using the correct mapping type and your body doesn't include the correct field name as declared in your mapping: client.create({ index: 'events', type: 'geo_point', <-------- wrong type body: {...
Polygon insertion issue (due to SRID) on Postgres
postgresql,geolocation,geospatial,postgis,sequelize.js
Two things: You can add a geometry column directly in PostGIS 2.0+ just using the ALTER TABLE command. ALTER TABLE foo ADD COLUMN geom Geometry(Polygon,4326) As the error says, the geometry you're creating from JSON lacks the SRID of the column. So you need to ensure it is set. The...
Wraping of equispaced point set in a given direction
java,r,algorithm,geospatial,graph-algorithm
I would do it like this: may be some 2d array point grouping to match the grid that should speed up all the following operations. compute average grid sizes (img1 from left) as two vectors create blue points (img2) as: gray_point (+/-) 0.5*blue_vector create red points (img3) as: blue_point (+/-)...
R: ggplot2 fill polygons in shapefile by coords
There are duplicate region names in that shapefile so you'll have to fill by polygon numeric id: library(rgdal) library(rgeos) library(ggplot2) pow <- readOGR("POWIATY.shp", "POWIATY") plot(pow) where <- over(SpatialPoints(cbind(20.7572137, 52.599427)), pow, TRUE) reg <- data.frame(id=rownames(where[[1]])) map <- fortify(pow) gg <- ggplot() gg <- gg + geom_map(map=map, data=map, aes(x=long, y=lat, map_id=id), fill="white",...
How to check if a polygon contains another polygon in OL3?
algorithm,openlayers,geospatial,openlayers-3
OpenLayers 3 does not include a function to check if a polygon is inside another polygon. But you could use JSTS, the JavaScript port of JTS Topology Suite to do the check: var feature1 = new ol.Feature(new ol.geom.Polygon(...)); var feature2 = new ol.Feature(new ol.geom.Polygon(...)); var format = new ol.format.GeoJSON(); var...
Convert coordinate systems using SQLGeometery
sql-server,geospatial,sqlgeometry
Use the GeometryToGeometry function from Pro Spatial, chapter 8. Source code and data tables: http://www.apress.com/9781430234913...
How to compute greatest distance between polygon centroid and edge
Here is a simple function I created that for a given polygon calculates the centroid, and the uses basic geometry to find with point is furthest from the centroid, returning its coordinates: library(sp) library(rgeos) library(ggplot2) Sr2 = Polygon(cbind(c(5,4,2,5),c(2,3,2,2))) Srs2=Polygons(list(Sr2), "s2") spPol=SpatialPolygons(list(Srs2)) find_furthest_point=function(polygon){ coords=fortify(polygon)[,c(1:2)] center=as.data.frame(gCentroid(polygon)) longs=coords[,1] lats=coords[,2] dist_fx=function(long, lat, center=center){...
Regarding Geotagged videos & information provided by the video in the terms of gis
java,geolocation,gis,geocoding,geospatial
Basically Geo-tags are just metadata entries on the file. For code, I suppose you could check metadata-extractor from google code, or see older question in here for general Get Video file metadata in Java...
Smoothing out ggplot2 map
r,ggplot2,geospatial,interpolation
The CRAN spatial view got me started on "Kriging". The code below takes ~7 minutes to run on my laptop. You could try simpler interpolations (e.g., some sort of spline). You might also remove some of the locations from the high-density regions. You don't need all of those spots to...
SqlGeography STIntersect returns always false
Sql Server geography types uses the left-hand approach. That is as you create polygon, whatever is to the left as you enclose the polygon is the inside of the polygon. You can read more: SqlGeography: Ring Orientation of Polygons...
Count number of buffers that touch a (polygon) feature
buffer,polygon,geospatial,spatial,arcgis
If I understand what you want correctly, then creating the union of buffers won't help you - as it leaves you with a single object and you need the count of all buffered objects intersecting against every object in the original table. In SQL I would join the original (all...
Combine results from regex to make x,y pairs
this can be done without re, for example if this is your string: l = "LINESTRING (-1 -2, -2 3.8, -1 5.6, 0 -3, 1.5 3.3, 2 -23, 6 -12)" grab the numbers from between the parenthesis and put them as string pairs into a list, then iterate through them...
Finding nearest grid value in spatial dataframe in R
You can turn x and y into SpatialPoints: SpatialPoints(cbind(x,y)) and use the function over: pts <- SpatialPoints(cbind(x, y)) pts.idw <- over(pts, geog2.idw["var1.pred"]) # Writing extracted values on the map: image(geog2.idw, xlim=c(-125, -110), ylim=c(40, 47)) contour(geog2.idw, add=T, lwd=0.5) map("state", lwd=1, add=T) map("county", lty=3, lwd=0.5, add=T) text(pts, round(pts.idw[,"var1.pred"],4), col = "blue") ...
MemSQL geospatial union of polygons
MemSQL 4 includes topological functions (eg, geography_intersects()) that return a boolean, and measurement functions like distance and length. It does not yet have constructor functions like intersection(), which would output a polygon as you describe. It's on the roadmap, though.
Can I store circle and polygon within the same spatially indexed column in postgis?
geospatial,postgis,postgresql-9.3,spatial-query,spatial-index
There is no Postgis type for representing a circle with 100% accuracy, ie, with a centre point and a radius, as there is with SQL Server's circular arcs. As pointed out in the comments, you can approximate a circle with the 2nd form of ST_Buffer, ie, ST_Buffer(point, distance, num_seg_quarter_circle). As...
MongoDB - Geospatial intersection of two polygon
mongodb,geospatial,mongodb-query,aggregation-framework
So looking at this with a fresh mind the answer is staring me in the face. The key thing that you have already stated is that you want to find the "intersection" of two queries in a single response. Another way to look at this is you want all of...
how to get the distance or radian between two point on the earth with lng and lat?
geolocation,geometry,geospatial
https://github.com/mongodb/mongo/blob/master/src/third_party/s2/s2latlng.cc#L37 GetDistance() return a S1Angle, S1Angle::radians() will return the radians. This belong to s2-geometry-library(google code will close,i export it to my github. Java)....
SQL Server Spatial Indexes Setup
sql-server,geospatial,spatial-index
You only need one of the indices for the Position field in each table. Having 2 is redundant and will harm performance from the standpoint that any database writes to those fields would have to update both. You do require having the index in both tables, since you are looking...
Project array content with mongodb
arrays,mongodb,mongoose,coordinates,geospatial
You need to do an $unwind operator on the Location array first in your aggregation pipeline, then $group the resulting documents to apply the accumulator expressions $first and $last. Your aggregation pipeline should look like this (untested): db.foo.aggregate([ { "$unwind": "$location" }, { "$group": { "_id": "$_id", "longitude": { "$first":...