R中的离散全局网格 [英] Discrete Global Grid in R

问题描述

我有一个数据集，该数据集由与某些Z值相关的纬度-经度对组成(例如，有关植物植被覆盖度的数据).

我想对这些数据的空间分布进行一些分析.

为此，有必要对近端数据点进行装箱.

我想使用离散的全球网格(例如二十面体斯奈德相等面积(ISEA)网格)或解决方案

我刚刚完成了一个名为在CRAN上可用.

的离散全局网格

I have a dataset consisting of latitude-longitude pairs associated with some Z value (e.g. data regarding degree of plant vegetation coverage).

I'd like to perform some analyses on the spatial distribution of this data.

To do so, it will be necessary to bin proximal data points.

I would like to do this with a Discrete Global Grid such as an Icosahedron Snyder Equal Area (ISEA) grid, or the grid produced by DGGRID.

The key is that the latitude-longitude values of the data can be convertable into unique cell ids, that the latitude-longitude of the cell's center be determinable, the size of the cells be variable (for analysis at different spatial scales), and that the cells be of equal area to a close approximation.

An image depicting how this might look:

Is there anything in R which does this?

解决方案

I've just completed an R package called dggridR which wraps dggrid in an easy-to-use way.

The package is also available on CRAN.

这篇关于R中的离散全局网格的文章就介绍到这了，希望我们推荐的答案对大家有所帮助，也希望大家多多支持IT屋！