根据[纬度，经度，密度]的给定数据集生成KML热图 [英] Generating a KML heatmap from given data set of [lat, lon, density]
问题描述
我正在寻找一个静态的KML(Google地球标记)文件，该文件以[纬度，经度，密度]元组的形式显示一些给定数据集的热图样式渲染.
我拥有一个非常简单的数据集，用于人口密度.
我的要求是:
- 必须能够输入给定纬度，经度的数据
- 必须能够指定该纬度lon处的数据密度
- 必须导出到KML
该要求与该项目的语言无关，因为我将离线生成这些文件以构建在其他地方使用的KML.
我查看了一些项目，其中最著名的是 heatmap.py ，它是<具有KML导出功能的Python中的href ="http://code.google.com/p/gheat/" rel ="nofollow noreferrer"> gheat .从某种意义上说，我碰到了一堵砖墙，因为到目前为止，我发现的项目都依赖于根据输入到算法中的纬度，经度点的密度来构建热图.
如果我缺少一种明显的方式来使我的数据集仅输入[lat，lon]元组，但是使用我拥有的密度值来调整如何输入它们，我很想知道！
嘿，威尔， heatmap.py 是我.您的要求是足够的，并且在我要解决的事情清单上.我还不确定如何以一般方式进行操作；用heatmap.py的话来说，使用每个点dotsize而不是像现在这样使用全局点大小将是很简单的，但是我不确定这是否能满足真正的需求.我的目标是2010年夏季发布，但您可以自己制作此mod.
您可以尝试搜索内核密度估算器工具；这就是统计学家所说的热图. R 具有一些不错的内置工具，可以更快地满足您的需求. /p>
祝你好运！
I am looking to build a static KML (Google Earth markup) file which displays a heatmap-style rendering of a few given data sets in the form of [lat, lon, density] tuples.
A very straightforward data set I have is for population density.
My requirements are:
- Must be able to feed in data for a given lat, lon
- Must be able to specify the density of the data at that lat, lon
- Must export to KML
The requirements are language agnostic for this project as I will be generating these files offline in order to build the KML used elsewhere.
I have looked at a few projects, most notably heatmap.py, which is a port of gheat in Python with KML export. I have hit a brick wall in the sense that the projects I have found to date all rely on building the heatmap from the density of [lat, lon] points fed into the algorithm.
If I am missing an obvious way to adapt my data set to feed in just the [lat, lon] tuples but adjusting how I feed them using the density values I have, I would love to know!
Hey Will, heatmap.py is me. Your request is a common-enough one and is on my list of things to address. I'm not quite sure yet how to do so in a general fashion; in heatmap.py parlance, it would be straightforward to have a per-point dotsize instead of a global dotsize as it is now, but I'm not sure that will address the true need. I'm aiming for a summer 2010 release, but you could probably make this mod yourself.
You may try searching for Kernel Density Estimator tools; that's what the statisticians call heatmaps. R has some good built-in tools you can use that might satisfy your need more quickly.
good luck!
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