geohash | Golang geohash library
kandi X-RAY | geohash Summary
kandi X-RAY | geohash Summary
Go geohash library offering encoding and decoding for string and integer geohashes.
Support
Quality
Security
License
Reuse
Top functions reviewed by kandi - BETA
Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of geohash
geohash Key Features
geohash Examples and Code Snippets
public static GeoHash fromLongValue(long hashVal, int significantBits) {
double[] latitudeRange = { -90.0, 90.0 };
double[] longitudeRange = { -180.0, 180.0 };
boolean isEvenBit = true;
GeoHash hash = new GeoHash();
String binaryString =
public static GeoHash fromGeohashString(String geohash) {
double[] latitudeRange = { -90.0, 90.0 };
double[] longitudeRange = { -180.0, 180.0 };
boolean isEvenBit = true;
GeoHash hash = new GeoHash();
for (int i = 0; i < geohash.length
public String toBase32() {
if (significantBits % 5 != 0) {
throw new IllegalStateException("Cannot convert a geohash to base32 if the precision is not a multiple of 5.");
}
StringBuilder buf = new StringBuilder();
long firstFiveBitsMask =
Community Discussions
Trending Discussions on geohash
QUESTION
How would the following SQL-query translate to LINQ:
...ANSWER
Answered 2022-Apr-09 at 23:29Here is the matching code I came up with:
QUESTION
I have this code where I am trying to fetch a document from a collection where time is not older than half an hour ago. It fails exactly in the inequality operator.
...ANSWER
Answered 2021-Dec-05 at 00:41From the Firestore documentation on query limitations:
In a compound query, range (
<
,<=
,>
,>=
) and not equals (!=
,not-in
) comparisons must all filter on the same field.
The way the inequality operators are implemented requires that you order on that field first. For the equality operator Firestore is able to do more on its own, for example combining information from multiple indexes in a so-called zig-zag-merge-join.
QUESTION
I have the following firestore security rules
...ANSWER
Answered 2022-Jan-31 at 02:39Security rules work on a document-level. Your code is trying to update the replies
array in the users
document, which is not allowed by any of your rules.
The match /replies
in your rules applies to a replies
subcollection under the users
document. It has no effect on fields in the users
document.
If you want the owner to update their entire document, and other signed in users to only update the replies
field, you'll have to allow that in the rule on users
.
Something like this:
QUESTION
I have two sets of points in two separate tables like this : t1 : Point_1 |Lat | Long .................. Point_n |Lat |Long and t2 : Pt_1 |Lat | Long .................. Pt_m |Lat |Long with no relation between the two tables. What would be the best way (least resources) to identify the top 3 closest points in t2 for each pt in t1, particulalrly when t1 and t2 are huge? Maybe Geohashing? What I tried and seems to work fine with small datasets is :
...ANSWER
Answered 2022-Jan-22 at 18:24Try reducing the data size on both sides of the join operator, by filtering out irrelevant or ill formatted rows and columns. Perhaps you can use geo_point_in_polygon\circle() to throw out irrelevant data.
Try using broadcast join or maybe shuffle join: https://docs.microsoft.com/en-us/azure/data-explorer/kusto/query/broadcastjoin https://docs.microsoft.com/en-us/azure/data-explorer/kusto/query/shufflequery
You can use s2\geohash\h3 hashing functions in two ways:
a. Per each table, combine nearby points into one representative point. The idea is to use hash cell central point as a representative for all points that reside in the cell. This will reduce tables sizes. Something like:
QUESTION
I have an app written in React Native with Firebase, I have a list of clients in db with their geohashes, now I need to display the list of my clients to the user sorted from the nearest to the furthest. In the docs examples, it says
...ANSWER
Answered 2022-Jan-26 at 15:35Let's break down the problem as below:
1. Save geohash
for each client document
Assume that we have clients
collection with documents as below:
QUESTION
Following the tutorial https://firebase.google.com/docs/firestore/solutions/geoqueries and https://www.youtube.com/watch?v=mx1mMdHBi5Q i've created my database design which looks like
When I'm querying for any location I'm always getting 0 result, then I tried querying non nested collection (as shown in tutorial video https://www.youtube.com/watch?v=mx1mMdHBi5Q) then I'm getting the result.
My non nested collection design looks like:
Code for nested collection (which is my requirement and doesn't work)
...ANSWER
Answered 2022-Jan-12 at 15:25This query will never return any results:
QUESTION
I have a String value as a geohash that I want to change it to latitude and longitude in Kotlin. I couldn't find any library for that. How can I convert geohash to latitude and longitude in Kotlin?
...ANSWER
Answered 2022-Jan-02 at 13:35Looks like geohash-java
supports this:
An implementation of Geohashes in pure Java. The produced hashes, when using character precision (multiples of 5 bits) are compatible to the reference implementation geohash.org.
You can however also encode Geohashes down to the full available precision of a long i.e. 64 bits.
You can add the following to your pom.xml
file if you are using Maven:
QUESTION
I have a requirement to get higher precision geohashes of a lower precision geohash in efficient way (instead of converting to lon lat and then encode again ). I have found solution in other way where higher precision geohashes convert to lower precision geohash boxes.
What I am trying to do out of above is to get lower precision boxes of a big polygon and then convert them to higher precision. This way I can paralyze the geohash conversion for a very big polygon.
I would like to do this using python
...ANSWER
Answered 2021-Dec-14 at 19:03given length 4 geohash it will return length 5 geohash list
This is pretty straightforward - each letter in geohash encodes 5-bit (32 potential values) of the quad-tree. All 32 values are possible and represent different areas inside parent geohash rectangle, so if you want to get list of all the possible longer geohash values, just append these letters.
The list of 32 digits and letters used by geohash can be found in Wikipedia or any geohash implementation: "0123456789bcdefghjkmnpqrstuvwxyz". Just append each of these to shorter geohash, and you'll get all the possible longer ones.
QUESTION
EDIT : Adding code that generates the polygons. df
is the base data loaded from csv and processed into clusters :
ANSWER
Answered 2021-Nov-10 at 09:33frm
probably does not have the correct crs to be show on the folium map.
Even if creating a GeoDataFrame with the crs parameter it seems to not change the original crs.
QUESTION
With the new addition of the geohash
type in update 6.0.5, has the performance improved? Specifically, will this improve performance for weather / geospatial data ingestion relative to previous Questdb iterations?
ANSWER
Answered 2021-Oct-22 at 11:31Addition of geohashes means that there is a new type for this kind of data. If you are using existing types for weather data, there will be no change in performance. There are internal improvements which make working with the geohash type more efficient than storing these values as strings of symbols, for example.
For more info, see the geohash documentation at https://questdb.io/docs/concept/geohashes/
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install geohash
Support
Reuse Trending Solutions
Find, review, and download reusable Libraries, Code Snippets, Cloud APIs from over 650 million Knowledge Items
Find more librariesStay Updated
Subscribe to our newsletter for trending solutions and developer bootcamps
Share this Page