QuadKey | Quad key object used for Geospatial segmentation | Map library
kandi X-RAY | QuadKey Summary
kandi X-RAY | QuadKey Summary
Quad key object used for Geospatial segmentation. Based off the idea of a quadtree and used as the Bing Maps tile system. Given a (lat, lon) and level produce a quadkey to be used in Bing Maps. Can also supply methods to generate a Google Maps TileXYZ. Built off of the TileSystem static class outlined here: Converts a lat,lon to pixel space to tile space to a quadkey. Not a lot of documentation here, but the implementation has quite a bit, so look at the QuadKey definitions for better documention.
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Top functions reviewed by kandi - BETA
- Generate a QuadKey from a geo coordinate
- Convert geo coordinates to pixel coordinates
- Convert tile coordinates to a quadkey
- Clips n in the given range
- Return the size of a map
- Convert pixel coordinates to pixel coordinates
- Convert to geo coordinates
- Convert a quadkey to tile coordinates
- Convert pixel coordinates to geographic coordinates
- Convert tile coordinates to pixel coordinates
- The area of the tile
- Calculate ground resolution
- Scale from latitude and resolution
QuadKey Key Features
QuadKey Examples and Code Snippets
Community Discussions
Trending Discussions on QuadKey
QUESTION
Background:
I'm currently integrating HERE maps into our web-based application. I'm trying both - HERE provided Javascript API and Leaflet at the same time to find the best approach for our use-case.
While JavaScript API provided by HERE maps is OK, rendering wise Leaflet
performs much better when using raster tiles.
Issue:
It would be fine by me to use raster tiles + leaflet, but our application also needs to display traffic incidents data.
Traffic incident data is provided by HERE in JSON and XML formats (Documentation link, Example JSON). They provide [Z]/[X]/[Y]
, quadkey
, prox
, bbox
, or corridor
filters which can be used to retrieve filtered data set.
I've tried using [Z]/[X]/[Y]
addressing with custom L.TileLayer
implementation which loads appropriate JSON, converts it to GeoJSON and displays GeoJSON on map. However that approach is very inefficient and significant performance drop is visible.
Question:
Maybe anyone has already solved this issue and could share any insights on how the HERE traffic incidents could be shown on Leaflet
map without encountering performance issues?
ANSWER
Answered 2021-Feb-08 at 17:12I created the following script, which works without any performance issues:
QUESTION
I've a table of 860M rows in Google Cloud Spanner and I'm trying to understand how explanation works.
The table has a string column geoid
and there is an index at this column.
When I run the following query it takes only 36ms:
...ANSWER
Answered 2019-Oct-22 at 01:16In the explanation, Table Scan merely means that it reads the data from a table and does not necessarily mean a full table scan. Same goes for index scan. It means that it is reading from an index. In both cases, if there is a seekable predicate (e.g., constant prefixes on primary key or indexed column), they will do the seek.
The plan used the base table, and seek-and-scanned 11 rows, otherwise you would see 860M rows returned as a result out of the Table Scan.
Is geoid the leading primary key column of the table usbg_2015? That is the only explanation that I can think of given the plan.
QUESTION
In a query, if I use LIKE '%'
on the primary key it performs well, using the index:
ANSWER
Answered 2019-Jul-17 at 07:34For a prefix matching LIKE pattern (column LIKE 'xxx%'
), the query optimiser internally converts the condition into STARTS_WITH(column, 'xxx')
, which then uses the index.
So the reason is probably because the query optimizer is not smart enough to convert an exact length prefix matching LIKE pattern
QUESTION
I am unsure how I should structure my code here so that the offset parameter updates each time the function recursively calls itself. Here is more detail about my script and the challenge I'm trying to solve. I feel like there is some easy fix that I'm missing here. Scraping Website With Infinite Scroll Using Scrapy
...ANSWER
Answered 2019-Feb-03 at 21:05Define offset as a class attribute:
QUESTION
I'm trying to query Google spanner with query parameters using node.js client library. However, response is very slower with query parameter than without query parameter. Query has LIKE(forward match) statement. I couldn't find recommended way to use query parameters with LIKE statement.
Additionally, I tested with equal statement, there is no difference between query with parameter and query without parameter.
Table has more than 20 million rows. And instance is 1 node.
Is there any solution? or Is this bug with Google spanner?
Part of Schema(actually more than 40 columns):
...ANSWER
Answered 2018-Sep-04 at 18:44This is currently a limitation of Cloud Spanner. With a constant value for the LIKE
pattern, Cloud Spanner is able to optimize the lookup expression based on the LIKE
pattern during query compilation. For example, in this case, Cloud Spanner will be able to generate a query plan with a lookup expression that is basically
QUESTION
I am switching over from react-leaflet to mapbox-gl and have a question about a propriety tile service I am using for spatial data. The api has little documentation. They offer 4 different ways of requesting the tiles.
DRAW MAP TILE - PNG map tiles with a transparent background are created according to image size in pixels, a lat lon bounding box in decimal degrees, selected layer(s) and default styling. See the individual feature for a full list of style names.
DRAW STATIC MAP TILE - PNG map tiles with a transparent background are created according to image size in pixels, lat lon coordinates in decimal degrees, zoom level, selected layer(s) and default styling. See the individual feature for a full list of style names.
BING NON CACHE - PNG map tiles with a transparent background are created according to the Bing Maps API Quadkey, selected layer(s) and default styling. See the individual feature for a full list of style names.
GOOGLE NON CACHE - PNG map tiles with a transparent background are created according to the Google Maps API X, Y, and Zoom values, selected layer(s) and default styling. See the individual feature for a full list of style names.
For leaflet I used the google endpoint with the plugin "react-leaflet-google"
...ANSWER
Answered 2017-Apr-24 at 01:05You probably want a raster tile source. Mapbox only supports raster tiles given by x/y/z tile coordinates (not lat-longs or Bing quadkeys), so that rules out the first three options, leaving the Google NON CACHE PNG API endpoint only.
Your code will look something like:
QUESTION
The following is adapted from Bing Maps V8 interactive SDK:
...ANSWER
Answered 2017-Nov-09 at 18:12No, the road lines are rendered on the base map tiles on the server side with the rest of the map background. If you try different zIndex values you will find that you can put the tile layer above or below the base map tiles, but not between the road lines and the rest of the map background.
QUESTION
I want to know if there is an algorithm ready to use to generate quadkeys for different zoom.
A quadkey represents a unique picture in the globe and when we zoom in we split a quadkey into 4 other quadkeys (or pictures), and my objective is to generate all the quadkeys from the initial zoom to the target zoom, for example
Inputs :
033111010230 (this is a random quadkey with zoom 12 because it contains 12digits)
14 (this is the zoom target)
Ouputs :
033111010230 (quadkey itself zoom 12)
0331110102300 (first quadkey splited from the original quadkey)
03311101023000 (first quadkey splited from the one with zoom 13)
03311101023001
03311101023002
03311101023003
0331110102301 (second quadkey splited from the original quadkey)
03311101023010
03311101023011
...
03311101023033
I don't want you to develop this algorithm for me i just here asking if there is an algorithm ready to use, I've read this article about some quadkey key algorithms but it only talks about conversions
...ANSWER
Answered 2017-Jan-04 at 14:34If someone is interested about this kind of algorithm :
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