给定一个位置的经度和纬度，如何知道该位置的有效时区?
在大多数情况下，我们正在寻找IANA/Olson时区id，尽管有些服务可能只返回UTC偏移量或其他一些时区标识符。详细信息请阅读时区标签信息。
当前回答
如果你不想使用web服务，你可以像这样从浏览器中检索信息:
var d = new Date();
var usertime = d.toLocaleString();
//some browsers / OSs provide the timezone name in their local string
var tzsregex = /\b(ACDT|ACST|ACT|ADT|AEDT|AEST|AFT|AKDT|AKST|AMST|AMT|ART|AST|AWDT|AWST|AZOST|AZT|BDT|BIOT|BIT|BOT|BRT|BST|BTT|CAT|CCT|CDT|CEDT|CEST|CET|CHADT|CHAST|CIST|CKT|CLST|CLT|COST|COT|CST|CT|CVT|CXT|CHST|DFT|EAST|EAT|ECT|EDT|EEDT|EEST|EET|EST|FJT|FKST|FKT|GALT|GET|GFT|GILT|GIT|GMT|GST|GYT|HADT|HAEC|HAST|HKT|HMT|HST|ICT|IDT|IRKT|IRST|IST|JST|KRAT|KST|LHST|LINT|MART|MAGT|MDT|MET|MEST|MIT|MSD|MSK|MST|MUT|MYT|NDT|NFT|NPT|NST|NT|NZDT|NZST|OMST|PDT|PETT|PHOT|PKT|PST|RET|SAMT|SAST|SBT|SCT|SGT|SLT|SST|TAHT|THA|UYST|UYT|VET|VLAT|WAT|WEDT|WEST|WET|WST|YAKT|YEKT)\b/gi;
//in other browsers the timezone needs to be estimated based on the offset
var timezonenames = {"UTC+0":"GMT","UTC+1":"CET","UTC+2":"EET","UTC+3":"EEDT","UTC+3.5":"IRST","UTC+4":"MSD","UTC+4.5":"AFT","UTC+5":"PKT","UTC+5.5":"IST","UTC+6":"BST","UTC+6.5":"MST","UTC+7":"THA","UTC+8":"AWST","UTC+9":"AWDT","UTC+9.5":"ACST","UTC+10":"AEST","UTC+10.5":"ACDT","UTC+11":"AEDT","UTC+11.5":"NFT","UTC+12":"NZST","UTC-1":"AZOST","UTC-2":"GST","UTC-3":"BRT","UTC-3.5":"NST","UTC-4":"CLT","UTC-4.5":"VET","UTC-5":"EST","UTC-6":"CST","UTC-7":"MST","UTC-8":"PST","UTC-9":"AKST","UTC-9.5":"MIT","UTC-10":"HST","UTC-11":"SST","UTC-12":"BIT"};
var timezone = usertime.match(tzsregex);
if (timezone) {
timezone = timezone[timezone.length-1];
} else {
var offset = -1*d.getTimezoneOffset()/60;
offset = "UTC" + (offset >= 0 ? "+" + offset : offset);
timezone = timezonenames[offset];
}
//there are 3 variables can use to see the timezone
// usertime - full date
// offset - UTC offset time
// timezone - country
console.log('Full Date: ' + usertime);
console.log('UTC Offset: ' + offset);
console.log('Country Code Timezone: ' + timezone);
在我目前的情况下，它是打印:
日期:“27”/“01”/“2014”:“16”:“53”:“37” UTC偏移量:UTC-3 国家代码时区:BRT
希望对大家有所帮助。
其他回答
It's indeed important to recognize that this a more complicated problem than most would suspect. In practice many of us are also willing to accept a working set of code that works for "as many cases as possible", where at least its fatal issues can be identified and minimized collectively. So I post this with all of that and the spirit of the OP in mind. Finally, for practical value to others who are trying to convert GPS to timezone with the end goal of having a location-sensitive time object (and more importantly to help advance the quality of average implementations with time objects that follow from this wiki) here is what I generated in Python (please feel free to edit):
import pytz
from datetime import datetime
from tzwhere import tzwhere
def timezoned_unixtime(latitude, longitude, dt):
tzw = tzwhere.tzwhere()
timezone_str = tzw.tzNameAt(latitude, longitude)
timezone = pytz.timezone(timezone_str)
timezone_aware_datetime = timezone.localize(dt, is_dst=None)
unix_time = (timezone_aware_datetime - datetime(1970, 1, 1, tzinfo=pytz.utc)).total_seconds()
return unix_time
dt = datetime(year=2017, month=1, day=17, hour=12, minute=0, second=0)
print timezoned_unixtime(latitude=40.747854, longitude=-74.004733, dt=dt)
https://en.wikipedia.org/wiki/Great-circle_distance
下面是一个使用JSON数据的很好的实现: https://github.com/agap/llttz
public TimeZone nearestTimeZone(Location node) {
double bestDistance = Double.MAX_VALUE;
Location bestGuess = timeZones.get(0);
for (Location current : timeZones.subList(1, timeZones.size())) {
double newDistance = distanceInKilometers(node, current);
if (newDistance < bestDistance) {
bestDistance = newDistance;
bestGuess = current;
}
}
return java.util.TimeZone.getTimeZone(bestGuess.getZone());
}
protected double distanceInKilometers(final double latFrom, final double lonFrom, final double latTo, final double lonTo) {
final double meridianLength = 111.1;
return meridianLength * centralAngle(latFrom, lonFrom, latTo, lonTo);
}
protected double centralAngle(final Location from, final Location to) {
return centralAngle(from.getLatitude(), from.getLongitude(), to.getLatitude(), to.getLongitude());
}
protected double centralAngle(final double latFrom, final double lonFrom, final double latTo, final double lonTo) {
final double latFromRad = toRadians(latFrom),
lonFromRad = toRadians(lonFrom),
latToRad = toRadians(latTo),
lonToRad = toRadians(lonTo);
final double centralAngle = toDegrees(acos(sin(latFromRad) * sin(latToRad) + cos(latFromRad) * cos(latToRad) * cos(lonToRad - lonFromRad)));
return centralAngle <= 180.0 ? centralAngle : (360.0 - centralAngle);
}
protected double distanceInKilometers(final Location from, final Location to) {
return distanceInKilometers(from.getLatitude(), from.getLongitude(), to.getLatitude(), to.getLongitude());
}
}
如果您想使用geonames.org，请使用这段代码。(但是geonames.org有时很慢)
String get_time_zone_time_geonames(GeoPoint gp){
String erg = "";
double Longitude = gp.getLongitudeE6()/1E6;
double Latitude = gp.getLatitudeE6()/1E6;
String request = "http://ws.geonames.org/timezone?lat="+Latitude+"&lng="+ Longitude+ "&style=full";
URL time_zone_time = null;
InputStream input;
// final StringBuilder sBuf = new StringBuilder();
try {
time_zone_time = new URL(request);
try {
input = time_zone_time.openConnection().getInputStream();
final BufferedReader reader = new BufferedReader(new InputStreamReader(input));
final StringBuilder sBuf = new StringBuilder();
String line = null;
try {
while ((line = reader.readLine()) != null) {
sBuf.append(line);
}
} catch (IOException e) {
Log.e(e.getMessage(), "XML parser, stream2string 1");
} finally {
try {
input.close();
} catch (IOException e) {
Log.e(e.getMessage(), "XML parser, stream2string 2");
}
}
String xmltext = sBuf.toString();
int startpos = xmltext.indexOf("<geonames");
xmltext = xmltext.substring(startpos);
XmlPullParser parser;
try {
parser = XmlPullParserFactory.newInstance().newPullParser();
parser.setInput(new StringReader (xmltext));
int eventType = parser.getEventType();
String tagName = "";
while(eventType != XmlPullParser.END_DOCUMENT) {
switch(eventType) {
case XmlPullParser.START_TAG:
tagName = parser.getName();
break;
case XmlPullParser.TEXT :
if (tagName.equalsIgnoreCase("time"))
erg = parser.getText();
break;
}
try {
eventType = parser.next();
} catch (IOException e) {
e.printStackTrace();
}
}
} catch (XmlPullParserException e) {
e.printStackTrace();
erg += e.toString();
}
} catch (IOException e1) {
e1.printStackTrace();
}
} catch (MalformedURLException e1) {
e1.printStackTrace();
}
return erg;
}
并将其用于:
GeoPoint gp = new GeoPoint(39.6034810,-119.6822510);
String Current_TimeZone_Time = get_time_zone_time_geonames(gp);
好的，这是没有正确NTP时间的短版本:
String get_xml_server_reponse(String server_url){
URL xml_server = null;
String xmltext = "";
InputStream input;
try {
xml_server = new URL(server_url);
try {
input = xml_server.openConnection().getInputStream();
final BufferedReader reader = new BufferedReader(new InputStreamReader(input));
final StringBuilder sBuf = new StringBuilder();
String line = null;
try {
while ((line = reader.readLine()) != null)
{
sBuf.append(line);
}
}
catch (IOException e)
{
Log.e(e.getMessage(), "XML parser, stream2string 1");
}
finally {
try {
input.close();
}
catch (IOException e)
{
Log.e(e.getMessage(), "XML parser, stream2string 2");
}
}
xmltext = sBuf.toString();
} catch (IOException e1) {
e1.printStackTrace();
}
} catch (MalformedURLException e1) {
e1.printStackTrace();
}
return xmltext;
}
long get_time_zone_time_l(GeoPoint gp){
String raw_offset = "";
String dst_offset = "";
double Longitude = gp.getLongitudeE6()/1E6;
double Latitude = gp.getLatitudeE6()/1E6;
long tsLong = System.currentTimeMillis()/1000;
if (tsLong != 0)
{
// https://maps.googleapis.com/maps/api/timezone/xml?location=39.6034810,-119.6822510×tamp=1331161200&sensor=false
String request = "https://maps.googleapis.com/maps/api/timezone/xml?location="+Latitude+","+ Longitude+ "×tamp="+tsLong +"&sensor=false";
String xmltext = get_xml_server_reponse(request);
if(xmltext.compareTo("")!= 0)
{
int startpos = xmltext.indexOf("<TimeZoneResponse");
xmltext = xmltext.substring(startpos);
XmlPullParser parser;
try {
parser = XmlPullParserFactory.newInstance().newPullParser();
parser.setInput(new StringReader (xmltext));
int eventType = parser.getEventType();
String tagName = "";
while(eventType != XmlPullParser.END_DOCUMENT) {
switch(eventType) {
case XmlPullParser.START_TAG:
tagName = parser.getName();
break;
case XmlPullParser.TEXT :
if (tagName.equalsIgnoreCase("raw_offset"))
if(raw_offset.compareTo("")== 0)
raw_offset = parser.getText();
if (tagName.equalsIgnoreCase("dst_offset"))
if(dst_offset.compareTo("")== 0)
dst_offset = parser.getText();
break;
}
try {
eventType = parser.next();
} catch (IOException e) {
e.printStackTrace();
}
}
} catch (XmlPullParserException e) {
e.printStackTrace();
erg += e.toString();
}
}
int ro = 0;
if(raw_offset.compareTo("")!= 0)
{
float rof = str_to_float(raw_offset);
ro = (int)rof;
}
int dof = 0;
if(dst_offset.compareTo("")!= 0)
{
float doff = str_to_float(dst_offset);
dof = (int)doff;
}
tsLong = (tsLong + ro + dof) * 1000;
}
return tsLong;
}
并将其用于:
GeoPoint gp = new GeoPoint(39.6034810,-119.6822510);
long Current_TimeZone_Time_l = get_time_zone_time_l(gp);
时区位置Web服务
谷歌映射时区API 必应地图时区API Azure地图时区API GeoNames时区API TimeZoneDB API AskGeo -商业(但可以说比GeoNames更准确) 地理车库时区API -商业，专注于航海时区。
原始时区边界数据
Timezone Boundary Builder -从OpenStreetMaps地图数据中构建时区形状文件。包括海岸线附近的领海。
以下项目以前是时区边界数据的来源，但不再积极维护。
tz_world -来自Eric Muller的原始shapefile数据 whereonearth-timezone - GeoJSON版本与WOEDB数据合并
时区地理定位离线实现
使用时区边界生成器数据的实现
node-geo-tz - JavaScript library (Node.js only) timespace - JavaScript library tz-lookup-oss - JavaScript library GeoTimeZone - .NET library Geo-Timezone - PHP library timezonefinder - Python library ZoneDetect - C library Timeshape - Java library TimeZoneMap - Java and Android library lutz - R library go-tz - Go library Timezone lookup - Go library docker-timezone-lookup - docker container wrapping node-geo-tz tzf - Go library tzfpy - Python port of tzf library tzf-rs - Rust port of tzf library
使用较旧的tz_world数据的实现
latlong - Go库(也可以阅读这篇文章)。 TimeZoneMapper - Java库 tzwhere - JavaScript/节点库 pytzwhere - Python库 timezone_finder - Ruby库 LatLongToTimeZone - Java和Swift库 现在几点了?-描述PHP和MongoDB的博客文章 rundel/timezone - R库
调用其中一个web服务的库
timezone -调用GeoNames的Ruby宝石 AskGeo有自己的库，用于从Java或。net进行调用 GeoNames拥有几乎所有东西的客户端库
自托管web服务
geo2tz -基于时区查找，可通过Docker image获得
其他的想法
找到最近有R-Tree的城市 用MySQL找到最近的城市
如果您知道其他名单，请更新此名单
此外，请注意，最近的城市方法可能不会产生“正确”的结果，只是一个近似值。
转换到Windows区域
列出的大多数方法都将返回IANA时区id。如果您需要转换为Windows时区，以便与。net中的TimeZoneInfo类一起使用，请使用TimeZoneConverter库。
不要使用zone.tab
tz数据库包含一个名为zone.tab的文件。该文件主要用于显示时区列表，供用户从中选择。它包括每个时区参考点的纬度和经度坐标。这允许创建一个突出显示这些点的地图。例如，查看moment-timezone主页上显示的交互式地图。
虽然使用这些数据从纬度和经度坐标解析时区可能很诱人，但请考虑这些是点，而不是边界。最好的办法是确定最近的点，但在许多情况下，这并不是正确的点。
考虑下面的例子:
这两个方格表示不同的时区，其中每个方格中的黑点是参考位置，例如在zone.tab中可以找到的位置。蓝点表示我们试图为其寻找时区的位置。显然，这个位置位于左侧的橙色区域内，但如果我们只看距离参考点最近的距离，它将解析为右侧的绿色区域。
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