maps

VFR Sectional Aeronautical Charts with matplotlib (python)

北慕城南 提交于 2020-01-25 21:05:08
问题 I'm looking for a means to add VFR Sectional Aeronautical Charts (a.k.a. sectionals) to preexisting matplotlib code I have. In short, can there be a quick and easy means to realize sectional charts with python and matplotlib? If not, what are the other paths to consider? Reference: http://robertjliguori.blogspot.com/2016/10/acquiring-vfr-sectional-aeronautical.html Thanks, Robert 回答1: I actually figured it out... map = Basemap(...) map.arcgisimage(server='http://maps7.arcgisonline.com/ArcGIS'

IOS后台文件上传

蹲街弑〆低调 提交于 2020-01-25 17:46:58
public ModelAndView GetImage(HttpServletRequest request, HttpServletResponse response) throws Exception { Map<String, Object> maps = new HashMap<String, Object>(); try { // 创建一个临时文件存放要上传的文件,第一个参数为上传文件大小,第二个参数为存放的临时目录 DiskFileItemFactory factory = new DiskFileItemFactory( 1024 * 1024 * 5, new File("D:\\temp1")); // 设置缓冲区大小为 5M factory.setSizeThreshold(1024 * 1024 * 5); // 创建一个文件上传的句柄 ServletFileUpload upload = new ServletFileUpload(factory); // 设置上传文件的整个大小和上传的单个文件大小 upload.setSizeMax(1024 * 1024 * 50); upload.setFileSizeMax(1024 * 1024 * 5); try { // 把页面表单中的每一个表单元素解析成一个FileItem List<FileItem>

VC++ MapWinGis篇(创建图层)

青春壹個敷衍的年華 提交于 2020-01-25 17:06:10
MapWinGis控件的引用: #import "MapWinGIS.ocx" rename("IImage","gisIImage") rename("ImageType", "gisImageType") rename("Point", "gisPoint") using namespace MapWinGIS; 创建新图层m_pShapefilePoint,并添加图层属性: MapWinGIS::IShapefilePtr m_pShapefilePoint; m_pShapefilePoint.CreateInstance(__uuidof(MapWinGIS::Shapefile)); if (!m_pShapefilePoint->Open("./maps/GpsPoints.shp", NULL)) { CString sError = m_pShapefilePoint->GetErrorMsg(m_pShapefilePoint->GetLastErrorCode()); TRACE(sError); if (!m_pShapefilePoint->CreateNew("./maps/GpsPoints.shp", /*MapWinGIS::ShpfileType::*/SHP_POINT)) { sError.Format("%s", m

Flattening repeating structure in biztalk

扶醉桌前 提交于 2020-01-25 09:07:05
问题 I´ve an xml instance similar to this: <outerElementList> <outerElement> <outerID>1</outerID> <innerElementList> <innerElement> <innerID>10</innerID> </innerElement> <innerElement> <innerID>20</innerID> </innerElement> </innerElementList> </outerElement> <outerElement> <outerID>2</outerID> <innerElementList> <innerElement> <innerID>30</innerID> </innerElement> <innerElement> <innerID>40</innerID> </innerElement> </innerElementList> </outerElement> </outerElementList> And I need to end up with

Google Maps基站定位

巧了我就是萌 提交于 2020-01-25 02:55:38
  如果你在你的手机装过Google Mobile Maps,你就可以发现只要你的手机能连接GPRS,即使没有GPS功能,也能定位到你手机所在的位置, 只是精度不够准确。在探讨这个原理之前,我们需要了解一些移动知识,了解什么是MNC/LAC/Cell ID。 Mobile Network Code(MNC) 移动网号码,中国联通CDMA系统的MNC为03,中国移动的为00。 Mobile Country Code(MCC) 移动用户所属国家代号:460 Location Area Code(LAC) 地区区域码,用来划分区域,一般一个小地方就一个LAC,大地方就 Cell Tower ID(Cell ID) CellID代表一个移动基站,如果你有基站数据,查CellID你就可以知道这个基站在哪里,移动公司或者警察通过这个知道你是在哪个基站范围打的移动电话。   这些信息有什么用呢? 通过这些信息可以知道你的手机是从哪个国家,区域和哪个基站接入移动网络的。所以有些防盗手机丢失后,会发一些类 似"MCC:460;MNC:01;LAC:7198:CELLID:24989"内容的短信到你指定号码就是这个用途,通过这些信息可以从移动查到你的 被盗手机在哪里出现过。不过知道了也没用,中国人口这么密集,就是在你身边你也不知道谁是小偷:)   这些信息从哪里来呢

Plotting shape files loaded using read.shp with ggplot2

我与影子孤独终老i 提交于 2020-01-24 21:22:10
问题 I would like to plot a shape file loaded using read.shp from the fastshp package. However, the read.shp function returns a list of list and not a data.frame. I'm unsure which part of the list I need to extract to obtain the correctly formatted data.frame object. This exact question has been asked on stack overflow already, however, the solution no longer seems to work (solution was from > 7 years ago). Any help is much appreciated. remotes::install_github("s-u/fastshp") #fastshp not on CRAN

Filling countries and continents with maps library according to variable value

六眼飞鱼酱① 提交于 2020-01-24 20:58:26
问题 I want to fill a map with some countries from UE, and then some continents like Asia and Africa, according to my variable prob2 values . This is my data map_d : state prob2 <chr> <dbl> Germany 0.6 Austria 2.9 Belgium 1.9 Bulgaria 0.6 Cyprus 0.0 Croatia 1.7 ... Other Asian 9.2 Other African 2.5 Other North American 10.7 Other Latin American 2.3 Other Oceania 5.0 Firstly I fill the countries of Europe, using this code: europ_map <- map_data("world", region = c( "Germany", "Austria", "Belgium",

How do I monitor for clicks on polygons with Google Maps API v3

旧城冷巷雨未停 提交于 2020-01-24 20:23:04
问题 My polygons are loaded dynamically from a .kml file using KMLLayer. I need these polygons (on click) to link to a page. Can anyone advise me or provide a solution please? Thanks! 回答1: You can just simply add a listerer to the polygon. var polygon = google.maps.Polygon(....); polygon.addListener('click', function(){ }); Polygon reference 回答2: If i'm not mistaken i think that features loaded from kml cannot have listeners attached to them.Please take a close look here 来源: https://stackoverflow

Create heatmap with distribution of attribute values in R (not density heatmap)

霸气de小男生 提交于 2020-01-24 05:36:12
问题 Some of you might have seen Beyond "Soda, Pop, or Coke". I am facing a similar problem and would like to create a plot like that. In my case, I have a very large number of geo-coded observations (over 1 million) and a binary attribute x . I would like to show the distribution of x on a map with a color scale ranging from 0 to 1 for p(x=1). I am open to other approaches but Katz's approach for Beyond "Soda, Pop, or Coke" is described here and uses these packages: fields, maps, mapproj, plyr,

HERE Maps JS API v3: customize cluster marker's color

為{幸葍}努か 提交于 2020-01-24 01:04:06
问题 I know that I could just easily override nokia.maps.clustering.MarkerTheme.getColor in version 2.5.x to customize only the color of the cluster marker , but it seems there's no easy way to do so in version 3.0.x. I mean, there is this H.clustering.ITheme interface that I could implement, yet it feels like it is a real pain for hacking into the color property. This is what I code so far (only relevant code shown): var defaultTheme = clusteredDataProvider.getTheme(), customTheme = { /** * *