ip-geolocation

问题 Is there's a library or a way to calculate the center point for several geolocations points? This is my list of geolocations based in New York and want to find the approximate midpoint geolocation L = [ (-74.2813611,40.8752222), (-73.4134167,40.7287778), (-74.3145014,40.9475244), (-74.2445833,40.6174444), (-74.4148889,40.7993333), (-73.7789256,40.6397511) ] 回答1: After the comments I received and comment from HERE With coordinates that close to each other , you can treat the Earth as being

问题 Closed. This question is off-topic. It is not currently accepting answers. Want to improve this question? Update the question so it's on-topic for Stack Overflow. Closed 3 years ago . Who are some of the reputable and/or stable geo-ip location service providers? I'm specing out an application that needs this functionality, and whenever I google geo-ip I get a ton of hits, but it's hard to tell who the legit providers are and who the fly-by-night folks are. Ideally I'd like something that can

问题 Someone recommended cdn, And is it accurate in judging where the IP address belong to? How is it done? Is there a better solution? 回答1: Try hitting the pidgets geoip service (it uses the maxmind database) http://geoip.pidgets.com 回答2: There no fixed rules that can tell you which IP belongs to which country. It depends on which company owns the IP range at a given time and therefore can change as the ownership changes. You therefore either need to keep up an up to date database about which

问题 So I have read https://cloudplatform.googleblog.com/2014/03/geoip-geolocation-with-google-bigquery.html But I was wondering if there was a #standardSQL way of doing it. So far, I have a lot of challenge converting PARSE_IP and NTH() since the suggested changes in the migration docs have limitations. Going from PARSE_IP(contributor_ip) to NET.IPV4_TO_INT64(NET.SAFE_IP_FROM_STRING(contributor_ip)) does not work for IPv6 IP addresses. Going from NTH(1, latitude) lat to latitude[SAFE_ORDINAL(1)]

问题 So I have read https://cloudplatform.googleblog.com/2014/03/geoip-geolocation-with-google-bigquery.html But I was wondering if there was a #standardSQL way of doing it. So far, I have a lot of challenge converting PARSE_IP and NTH() since the suggested changes in the migration docs have limitations. Going from PARSE_IP(contributor_ip) to NET.IPV4_TO_INT64(NET.SAFE_IP_FROM_STRING(contributor_ip)) does not work for IPv6 IP addresses. Going from NTH(1, latitude) lat to latitude[SAFE_ORDINAL(1)]

问题 So I have read https://cloudplatform.googleblog.com/2014/03/geoip-geolocation-with-google-bigquery.html But I was wondering if there was a #standardSQL way of doing it. So far, I have a lot of challenge converting PARSE_IP and NTH() since the suggested changes in the migration docs have limitations. Going from PARSE_IP(contributor_ip) to NET.IPV4_TO_INT64(NET.SAFE_IP_FROM_STRING(contributor_ip)) does not work for IPv6 IP addresses. Going from NTH(1, latitude) lat to latitude[SAFE_ORDINAL(1)]

问题 There is a IP address geolocation service that will tell the viewer city or country based on IP address. and we might set the default country on menu based on the result of this location service. I wonder how can i test on this such as i am in Thailand but want to test it by stimulating Hongkong ip address so that i can see if that website provide proper feedback based on geolocation service. 回答1: Try using a socks proxy http://sockslist.net/. 回答2: They way we're validating IP geolocations

问题 I need a client side API in either Java or Ruby. I would much prefer need this to be LOCAL only. Infact this might not even be an IP, but more of a database import. The thing is that I cannot make use of a web service based one as that is too much heavy I/O for me. Note: By geolocation, all I really need is country/region at best. I would accept actual lat/long cordinates as well. 回答1: I was looking at these guys a couple months ago: http://www.maxmind.com/app/geolitecountry It seemed OK, for

问题 There are some free databases on the internet. But it's interesting to know, in what way they are formed. Can you suggest some? 回答1: MaxMind has a good description: The idea behind GeoIP is simple but the process is complex. We employ user-entered location data from sites that ask web visitors to provide their geographic location. We then run millions of these datasets through a series of algorithms that identify, extract, and extrapolate location points for IP addresses. 回答2: There isn't a

问题 There are some free databases on the internet. But it's interesting to know, in what way they are formed. Can you suggest some? 回答1: MaxMind has a good description: The idea behind GeoIP is simple but the process is complex. We employ user-entered location data from sites that ask web visitors to provide their geographic location. We then run millions of these datasets through a series of algorithms that identify, extract, and extrapolate location points for IP addresses. 回答2: There isn't a