Unlike apt-get, aptitude is better at dealing with dependency issues. Like apt-get, aptitude is an extremely powerful package management tool in Debian and its derivative systems. In this way, no useless packages are left in the system, and the entire system is cleaner. For example, when aptitude deletes a package, it also deletes the packages it depends on.

The difference and connection between aptitude and apt-get Like apt-get, aptitude is an extremely powerful package management tool in Debian and its derivative systems.

The location data of the map elements are expressed in two-dimensional latitude and longitude, the range of longitude (-180, 180), the range of latitude (-90, 90], the positive and negative latitude is bounded by the equator, the north is positive and the south is negative, and the longitude is positive and negative by the prime meridian (Greenwich Observatory, UK) is the boundary, the east is positive and

redis geohash realizes the function of nearby people Redis has added the geolocation GEO module after version 3.2, which means that we can use Redis to realize the functions of Mobike 'Nearby Mobike', Meituan and Ele.me 'Nearby Restaurants'.

To do this, I used the formula on googlemaps api: ( 6371 * acos( cos( radians(37) ) * cos( radians( lat ) ) * cos( radians( lng ) - radians(-122) ) + sin( radians(37) ) * sin( radians( lat ) ) ) ) Of course using that in php I replaced radians with deg2rad.The values 37,-122 are my values of input and lat,lng are my values in the I want to find, with a certain value of latitude and longitude in input, all the distances (in km) from this point with each point in the database. I have a database with some values of latitute and longitude saved.

Haversine formula with php Question I want to use this formula with php.

It's true that dist() may be even faster but remember that requires more field to be indexed, a lot of preprocess at query time to be able to yield the same calculated distance, and, as mentioned by Mats, it wouldn't take the earth' curvature into account.

Lastly, LatLonPointSpatialField for example does distance calculations based on Haversine formula (Great Circle), BBoxField does it a little faster because the rectangular shape is faster to compute. To do the same with dist() you would have to compute the center point of the box to input each one of its coordinates as a function argument, so it would be too much hassle to yield the same result if you want to use an area as parameter. That makes a huge difference because you would have to index every coordinates of each point separately.īesides, you can also use geodist() as is with the BBoxField field type that indexes a single rectangle per document field and supports searching via a bounding box. It would require 2 indexed fields (or values per field at least) for 2 dimensions, 3 for 3d, and so on. In order to perform the same spatial search, you would have to specify every point's dimension separately. In geodist (sfield, x, y), sfield is a spatial field type that represents two points (lat,lon), so the direct equivalent using dist() would be to implement dist (2, sfieldX, sfieldY, x, y) with sfieldX and sfieldY being respectively the (lat,lon) coordinates of sfield.

BBoxField (for areas, 4 instances of another field type referred to by numberType).SpatialRecursivePrefixTreeFieldType (RPT for short), including RptWithGeometrySpatialField, a derivative.LatLonType (now deprecated) and its non-geodetic twin PointType.Four main field types are available for spatial search : Behind the scenes, latitude and longitude are indexed as separate numbers. This field type is strictly limited to coordinates in lat/lon decimal degrees. Most spatial implementation are based on Lucene's Points API, which is a BKD Index. The main difference is that geodist() is intended to work with spatial field types.

Geodist solr