geohash | Golang geohash library

 by   mmcloughlin Go Version: v0.10.0 License: MIT

kandi X-RAY | geohash Summary

kandi X-RAY | geohash Summary

geohash is a Go library. geohash has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

Go geohash library offering encoding and decoding for string and integer geohashes.
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            kandi-support Support

              geohash has a low active ecosystem.
              It has 481 star(s) with 45 fork(s). There are 15 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 2 open issues and 17 have been closed. On average issues are closed in 63 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of geohash is v0.10.0

            kandi-Quality Quality

              geohash has 0 bugs and 0 code smells.

            kandi-Security Security

              geohash has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              geohash code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              geohash is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              geohash releases are not available. You will need to build from source code and install.
              Installation instructions, examples and code snippets are available.
              It has 9947 lines of code, 84 functions and 11 files.
              It has high code complexity. Code complexity directly impacts maintainability of the code.

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            geohash Key Features

            No Key Features are available at this moment for geohash.

            geohash Examples and Code Snippets

            Build a GeoHash from a long value .
            javadot img1Lines of Code : 28dot img1License : Permissive (MIT License)
            copy iconCopy
            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 =   
            Convert a geohash string into a GeoHash object .
            javadot img2Lines of Code : 28dot img2License : Permissive (MIT License)
            copy iconCopy
            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  
            Converts a geohash to a string .
            javadot img3Lines of Code : 17dot img3License : Permissive (MIT License)
            copy iconCopy
            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

            QUESTION

            Interpolated SQL to LINQ-query
            Asked 2022-Apr-09 at 23:29

            How would the following SQL-query translate to LINQ:

            ...

            ANSWER

            Answered 2022-Apr-09 at 23:29

            Here is the matching code I came up with:

            Source https://stackoverflow.com/questions/71808201

            QUESTION

            Initial Query.orderBy() Parameter has to be the same as the Query.where() fieldPath parameter(s) when an inequality operator is invoked
            Asked 2022-Feb-15 at 18:58

            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 00:41

            From 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.

            Source https://stackoverflow.com/questions/70230599

            QUESTION

            firestore security rules: allow logged in user to update field
            Asked 2022-Jan-31 at 02:39

            I have the following firestore security rules

            ...

            ANSWER

            Answered 2022-Jan-31 at 02:39

            Security 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:

            Source https://stackoverflow.com/questions/70920605

            QUESTION

            Find shortest distance between two sets of points on the map (large datasets)
            Asked 2022-Jan-29 at 19:09

            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 18:24
            1. Try 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.

            2. 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

            3. 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:

            Source https://stackoverflow.com/questions/70809993

            QUESTION

            How can I sort my data in firestore db by the location from the user / nearest geohash?
            Asked 2022-Jan-26 at 15:42

            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 15:35

            Let's break down the problem as below:

            1. Save geohash for each client document

            Assume that we have clients collection with documents as below:

            Source https://stackoverflow.com/questions/70864193

            QUESTION

            Firestore geoquery on nested firestore collection
            Asked 2022-Jan-25 at 06:11

            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 15:25

            This query will never return any results:

            Source https://stackoverflow.com/questions/70683219

            QUESTION

            How to convert geohash to Latitude and Longitude in Kotlin
            Asked 2022-Jan-02 at 13:35

            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 13:35

            Looks 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:

            Source https://stackoverflow.com/questions/70556055

            QUESTION

            How do I get higher precision geohash of a lower precision geohash in an optimize way
            Asked 2021-Dec-14 at 19:03

            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 19:03

            given 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.

            Source https://stackoverflow.com/questions/69579656

            QUESTION

            GeoDataFrame.plot works but does not display in folium GeoJson
            Asked 2021-Nov-10 at 09:33

            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 09:33

            frm 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.

            Source https://stackoverflow.com/questions/69908799

            QUESTION

            Did the Quesdb performance change with the implementation of the new geohash type?
            Asked 2021-Oct-22 at 11:31

            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 11:31

            Addition 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/

            Source https://stackoverflow.com/questions/69608711

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install geohash

            Fetch the package with. And import it into your programs with.

            Support

            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
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            gh repo clone mmcloughlin/geohash

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