geo

I'm trying to plot a few points onto a map using the D3 geo library based on latitudes and longitudes. However, when I pass these values into my projection function, it results in coordinates that our outside the bounds of my SVG image. My code is based on this example provided in the documentation . I've thrown the current code up at: http://bl.ocks.org/rpowelll/8312317 My source data is a simple array of objects formatted like so var places = [ { name: "Wollongong, Australia", location: { latitude: -34.42507, longitude: 150.89315 } }, { name: "Newcastle, Australia", location: { latitude: -32

I would like to perform blinear interpolation using python. Example gps point for which I want to interpolate height is: B = 54.4786674627 L = 17.0470721369 using four adjacent points with known coordinates and height values: n = [(54.5, 17.041667, 31.993), (54.5, 17.083333, 31.911), (54.458333, 17.041667, 31.945), (54.458333, 17.083333, 31.866)] z01 z11 z z00 z10 and here's my primitive attempt: import math z00 = n[0][2] z01 = n[1][2] z10 = n[2][2] z11 = n[3][2] c = 0.016667 #grid spacing x0 = 56 #latitude of origin of grid y0 = 13 #longitude of origin of grid i = math.floor((L-y0)/c) j =

Before asking for specific code examples, I just wanted to ask whether it is possible to make a query something like this pseudo code: select items from table where lat/lon = -within x miles of a certain lat/lon point- Is that doable? Or do I have to jump through some hoops? Any good approaches that could be recommended would be great! daroczig You should search for the Haversine formula, but a good start could be: Creating a Store Locator with PHP, MySQL & Google Maps - See Section 'Finding Locations with MySQL' Geo/Spatial Search with MySQL Citing from the first url: Here's the SQL statement

目录 EAST结构分析+pytorch源码实现 @ 一. U-Net的前车之鉴 1.1 FCN网络结构 1.2 U-NET网络 1.3 CTPN网络 二. EAST结构分析 2.1 结构简述 2.2 结构详解 三. EAST细节分析 3.1 标签制作 3.2 LOSS计算 3.3 NMS计算 四. Pytorch源码分析 五. 第一次更新内容 五. 参考文献 EAST结构分析+pytorch源码实现 @ 一. U-Net的前车之鉴 在介绍 EAST 网络之前我们先介绍一下前面的几个网络，看看这个 EAST 网络怎么来的？为什么来的？ 当然这里的介绍仅仅是引出 EAST 而不是详细的讲解其他网络，有需要的读者可以去看看这三个优秀网络。 1.1 FCN网络结构 ​ FCN网络，在之前 FCN从原理到代码的理解 已经详细分析了，有需要的可以去看看，顺便跑一跑代码。 网络的由来 不管是 识别 （传统机器学习、CNN）还是 检测 （SSD、YOLO等），都只是基于大块的特征进行的，检测之后都是以 长方形 去表示检测结果，由于这是其算法内部回归的结果导致，而且feature map经过卷积一直减小，如果强行进行 256X256 到 512X512 的插值，那么结果可以想象，边界非常不好。 那么如何实现 图1-1 所示的结果呢？把每个像素都进行分割？ 网络的成果 FCN 给出的方法是使用 反卷积

I'd like to be able add padding to a map view after calling a map.fitBounds() , so all markers can be visible regardless of map controls or things like sliding panels that would cover markers when opened. Leaftlet has an option to add padding to fitBounds , but Google Maps does not. Sometimes the northmost markers partially hide above the viewport. The westmost markers also often lay under the zoom slider. With API 2 it was possible to form a virtual viewport by reducing given paddings from the map viewport and then call the method showBounds() to calculate and perform zooming and centering

//要解析的message.json文件如下 1 [ 2 { 3 "id": 912345678901, 4 "text": "How do I read a JSON stream in Java?", 5 "geo": null, 6 "user": { 7 "name": "json_newb", 8 "followers_count": 41 9 } 10 }, 11 { 12 "id": 912345678902, 13 "text": "@json_newb just use JsonReader!", 14 "geo": [50.454722, -104.606667], 15 "user": { 16 "name": "jesse", 17 "followers_count": 2 18 } 19 } 20 ] 先写Message类和User类 1 import java.util.ArrayList; 2 3 public class Message { 4 private long id; 5 private String text; 6 private ArrayList<Double> geo; 7 private User user; 8 9 public Message() { 10 } 11 12 public Message(long id,