引言
前两天在知乎上面找海外骑行、跑步软件Strava的时候，看到一个将运动轨迹从A App 导出，导入到B APP的工具 APP RunGap，恰巧之前给台湾、印度那边的测试同事处理他们的问题时，写过这样的一个工具，KML文件导出，然后在Mac下的 Google 地球上看轨迹是否偏差，是否存在坐标类型的转化错误等问题，能够比较快地定位问题。
KML文件，读者有不知道的可以Google一下，它是一种专门存GPS 点数据的xml文件格式。
将以下这个数据结构 PathRecord类的GPS点 List 转换成xml：
图 1.0 PathRecord
借用PathRecord的时间戳生成文件，存入SD卡，然后完文件里写 List 点， 文件带.kml 后缀。
图1.1 生成KML文件
写入kml gps点
public static String pullXMLCreate(String outDir, PathRecord pathRecord) {
final String fileName = createKmlFile(outDir, pathRecord);
StringWriter xmlWriter = new StringWriter();
try {
// // 方式一：使用Android提供的实用工具类android.util.Xml
// XmlSerializer xmlSerializer = Xml.newSerializer();
// 方式二：使用工厂类XmlPullParserFactory的方式
XmlPullParserFactory factory = XmlPullParserFactory.newInstance();
XmlSerializer xmlSerializer = factory.newSerializer();
xmlSerializer.setOutput(xmlWriter); // 保存创建的xml
xmlSerializer.setFeature("http://xmlpull.org/v1/doc/features.html#indent-output", true);
xmlSerializer.startDocument("utf-8", null);
//给根节点kml添加属性
xmlSerializer.setPrefix("xmlns", "http://www.opengis.net/kml/2.2");
xmlSerializer.setPrefix("gx", "http://www.google.com/kml/ext/2.2");// <?xml version='1.0' encoding='UTF-8' standalone='yes' ?>
xmlSerializer.startTag("", "kml");
xmlSerializer.startTag("", "Document");
xmlSerializer.startTag("", "Placemark");
xmlSerializer.startTag("", "Style");
xmlSerializer.startTag("", "LineStyle");
xmlSerializer.startTag(null, "color");
xmlSerializer.text("ff60ff00");//这里的颜色必须小写
xmlSerializer.endTag(null, "color");
xmlSerializer.startTag(null, "width");
xmlSerializer.text("6");
xmlSerializer.endTag(null, "width");
xmlSerializer.endTag("", "LineStyle");
xmlSerializer.endTag("", "Style");
List<Gps> points = pathRecord.locationList;
xmlSerializer.startTag(null, "LineString");
xmlSerializer.startTag(null, "coordinates");
xmlSerializer.text(createKMLPointStr(points));
xmlSerializer.endTag(null, "coordinates");
xmlSerializer.endTag(null, "LineString");
xmlSerializer.endTag("", "Placemark");
xmlSerializer.endTag("", "Document");
xmlSerializer.endTag("", "kml");
xmlSerializer.endDocument();
} catch (XmlPullParserException e) {// XmlPullParserFactory.newInstance
e.printStackTrace();
} catch (IllegalArgumentException e) { // xmlSerializer.setOutput
e.printStackTrace();
} catch (IllegalStateException e) { // xmlSerializer.setOutput
e.printStackTrace();
} catch (IOException e) {// xmlSerializer.setOutput
e.printStackTrace();
} catch (Exception e) {
e.printStackTrace();
}
String xmlStr = xmlWriter.toString();
BaseFileUtil.writeStringToFile(fileName, xmlStr);
return xmlStr;
}public static String pullXMLCreate(String outDir, PathRecord pathRecord) {
final String fileName = createKmlFile(outDir, pathRecord);
StringWriter xmlWriter = new StringWriter();
try {
// // 方式一：使用Android提供的实用工具类android.util.Xml
// XmlSerializer xmlSerializer = Xml.newSerializer();
// 方式二：使用工厂类XmlPullParserFactory的方式
XmlPullParserFactory factory = XmlPullParserFactory.newInstance();
XmlSerializer xmlSerializer = factory.newSerializer();
xmlSerializer.setOutput(xmlWriter); // 保存创建的xml
xmlSerializer.setFeature("http://xmlpull.org/v1/doc/features.html#indent-output", true);
xmlSerializer.startDocument("utf-8", null);
//给根节点kml添加属性
xmlSerializer.setPrefix("xmlns", "http://www.opengis.net/kml/2.2");
xmlSerializer.setPrefix("gx", "http://www.google.com/kml/ext/2.2");// <?xml version='1.0' encoding='UTF-8' standalone='yes' ?>
xmlSerializer.startTag("", "kml");
xmlSerializer.startTag("", "Document");
xmlSerializer.startTag("", "Placemark");
xmlSerializer.startTag("", "Style");
xmlSerializer.startTag("", "LineStyle");
xmlSerializer.startTag(null, "color");
xmlSerializer.text("ff60ff00");//这里的颜色必须小写
xmlSerializer.endTag(null, "color");
xmlSerializer.startTag(null, "width");
xmlSerializer.text("6");
xmlSerializer.endTag(null, "width");
xmlSerializer.endTag("", "LineStyle");
xmlSerializer.endTag("", "Style");
List<Gps> points = pathRecord.locationList;
xmlSerializer.startTag(null, "LineString");
xmlSerializer.startTag(null, "coordinates");
xmlSerializer.text(createKMLPointStr(points));
xmlSerializer.endTag(null, "coordinates");
xmlSerializer.endTag(null, "LineString");
xmlSerializer.endTag("", "Placemark");
xmlSerializer.endTag("", "Document");
xmlSerializer.endTag("", "kml");
xmlSerializer.endDocument();
} catch (XmlPullParserException e) {// XmlPullParserFactory.newInstance
e.printStackTrace();
} catch (IllegalArgumentException e) { // xmlSerializer.setOutput
e.printStackTrace();
} catch (IllegalStateException e) { // xmlSerializer.setOutput
e.printStackTrace();
} catch (IOException e) {// xmlSerializer.setOutput
e.printStackTrace();
} catch (Exception e) {
e.printStackTrace();
}
String xmlStr = xmlWriter.toString();
BaseFileUtil.writeStringToFile(fileName, xmlStr);
return xmlStr;
}
下面是生成的KML文件内容，其实还可以添加更多辅助信息到KML文件的，这里就略去了，直接上轨迹点，超级简单是不是？
奥森10km 轨迹图
<?xml version='1.0' encoding='utf-8' ?>
<kml xmlns:xmlns="http://www.opengis.net/kml/2.2" xmlns:gx="http://www.google.com/kml/ext/2.2">
<Document>
<Placemark>
<Style>
<LineStyle>
<color>ff60ff00</color>
<width>6</width>
</LineStyle>
</Style>
<LineString>
<coordinates>
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</LineString>
</Placemark>
</Document>
</kml>
直接将kml文件拖到Google 地球上，铛铛铛当就展现出来啦。
图1.2 Google地球展示kml文件
生成的kml标准文件，理论上可以导入到其它支持Share的APP，就可以进行数据迁移了。
以上就是Android APP开发KML轨迹导出教程示例的详细内容，更多关于Android APP导出KML轨迹的资料请关注编程网其它相关文章！
