mongodb geohash

Reference Documentation:Http://blog.csdn.net/wangxiafghj/article/details/9014363geohash algorithm principle and realization methodHttp://blog.charlee.li/geohash-intro/geohash: Using strings to search for nearby locationsHttp://blog.sina.com.cn/s/blog_7c05385f0101eofb.html find nearby points--geohash scenario discussionhttp://www.wubiao.info/372 Find nearby xxx sp

For more information about the geohash algorithm and implementation of nearby sites (PHP version), see: Principle and implementation of http://blog.csdn.net/wangxiafghj/article/details/9014363geohash algorithm Http://blog.charlee.li/geohash-intro/ geohash: nearby location search with strings A discussion on Geohash s

Reference Documentation:Http://blog.csdn.net/wangxiafghj/article/details/9014363geohash Algorithm principle and realization methodHttp://blog.charlee.li/geohash-intro/geohash: Using strings to search for nearby locationshttp://blog.sina.com.cn/s/blog_7c05385f0101eofb.html Find nearby points--geohash scenario discussionhttp://www.wubiao.info/372 Find nearby xxx sp

Reference Documentation: Http://blog.csdn.net/wangxiafghj/article/details/9014363geohash algorithm principle and realization method Http://blog.charlee.li/geohash-intro/geohash: Using strings to search for nearby locations Http://blog.sina.com.cn/s/blog_7c05385f0101eofb.html find nearby points--geohash scenario discussion http://www.wubiao.info/372 Find nearby

ObjectiveThe use of spatial indexes and the support of multiple databases to spatial indexes are mentioned in the previous blog, so the learning partners should consider the principle of spatial index implementation below the application layer.At present, the implementation of spatial index has r-tree and its variant gist tree, Quadtree, grid index and so on. The grid index is no longer mentioned, using a common hash table to store the map between the location and the style. Today the

indexed fields, and then finds them quickly by means of a binary-like lookup, which requires that the indexed fields be sortable, in general, one-dimensional fields, such as time, age, salary, and so on. But for a point in space (two dimensions, including longitude and latitude), how do you sort it? And how do you index it? There are a number of ways to solve this problem.thought: If you could somehow convert two-dimensional point data into one-dimensional data, then you wouldn't be able to con

Next previous article: Find nearby Dot Geohash algorithm and implementation (Java version) http://blog.csdn.net/sunrise_2013/article/details/42024813Reference Documentation:Http://www.slideshare.net/sandeepbhaskar2/geohash Introduction to Geohash principles and exampleshttp://geohash.gofreerange.com/Demo Instancehttp://geohash.gofreerange.com/around 8 lattice ins

I am using Baidu, and the five-digit Geohash can represent 10 square kilometers. So what is the range of the four-digit GeoHash? I am using Baidu, and the five-digit Geohash can represent 10 square kilometers. So what is the range of the four-digit GeoHash? Reply content: I am using Baidu, and the five-digit

Before doing the content retrieval based on Lucene, we know that Lucene can realize the content retrieval of the text information, the numerical information, and the space distance seems to be realized for the source code; In the last six months, I have contacted SOLR, which has a spatial distance retrieval (latitude and longitude), Recently on the implementation of the study, learned that in the implementation of space distance retrieval has a more commonly used technical--

Http://www.cnblogs.com/LBSer/p/3310455.html analysis of core principles of Geohash Http://www.cnblogs.com/LBSer/p/3310455.html Introduction Machine is a good move and studious child, usually like to take the mobile phone map Click Click to check some fun things. One day the machine to the Beihai Park, Belly hungry, and then opened the mobile phone map, search the restaurant near Beihai Parks, and chose one of the meals. After the meal machine began

This is a creation in Article, where the information may have evolved or changed. The Geohash algorithm and the point of the nearest region are used to encapsulate these two algorithms into the Golang package, which is useful when writing the LBS service. Https://github.com/gansidui/geohash Https://github.com/gansidui/nearest Gohash package mainimport ( "fmt" "github.com/gansidui/

Geohash has the following features:First, Geohash uses a string to represent the longitude and latitude two coordinates. With Geohash, you simply apply the index on one column.Second, Geohash represents not a point, but a rectangular area. For example, the code WX4G0EC19, which represents a rectangular region. Users ca

quickly by means of a binary-like lookup, which requires that the indexed fields be sortable, in general, one-dimensional fields, such as time, age, salary, and so on. But for a point in space (two-dimensional, including longitude and latitude), how to sort it. And how to index it. There are a number of ways to solve this problem. Thought: If you could somehow convert two-dimensional point data into one-dimensional data, then you wouldn't be able to continue using the B-Tree index. So this meth

Geohash is a system that can encrypt and decrypt geo-location information, Https://en.wikipedia.org/wiki/GeohashAfter Python installs the Geohash library, you can call the decode () and encode () functions. Follow the general steps to install (PIP install Geohash), after confirming the successful installation, import Geohash