traveltime:一个R包,用于计算从用户指定位置穿越景观所需的时间。

Gates Open Research Pub Date : 2025-07-24 eCollection Date: 2025-01-01 DOI:10.12688/gatesopenres.16356.1
Gerard E Ryan, Nicholas Tierney, Nick Golding, Daniel J Weiss
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引用次数: 0

摘要

从城市规划到公共卫生和无数其他活动,了解和绘制在不同地点之间旅行的时间是很有用的。在这里,我们提供了一个软件包——traveltime——它是用r语言编写的,并且是为r语言编写的。traveltime使用户能够根据用户指定的一组由地理坐标定义的位置,在感兴趣的区域创建一个旅行时间的栅格地图。结果是感兴趣区域的栅格,其中每个单元格中的值是到最近的提供位置的最短旅行时间(以分钟为单位)。我们设想该软件具有多种应用,包括:估计抽样偏差,分配除颤器,设置卫生区域,或绘制车辆充电器和农业设施的访问路径。工作流程需要两个关键步骤:为感兴趣的区域准备一个摩擦表面,然后计算感兴趣点在该表面上的移动时间。traveltime可以从R-Universe和GitHub获得,并记录在https://idem-lab.github.io/traveltime/。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

traveltime: an R package to calculate travel time across a landscape from user-specified locations.

traveltime: an R package to calculate travel time across a landscape from user-specified locations.

traveltime: an R package to calculate travel time across a landscape from user-specified locations.

Understanding and mapping the time to travel among locations is useful for many activities from urban planning to public health and myriad others. Here we present a software package - traveltime - written in and for the language R. traveltime enables a user to create a raster map of the travel time over an area of interest from a user-specified set of locations defined by geographic coordinates. The result is a raster of the area of interest where the value in each cell is the lowest travel time in minutes to the nearest of the supplied locations. We envisage this software having diverse applications including: estimating sampling bias, allocating defibrillators, setting health districts, or mapping access to vehicle chargers and agricultural facilities. The work-flow requires two key steps: preparing a friction surface for the area of interest, and then calculating travel time over that surface for the points of interest. traveltime is available from R-Universe and GitHub, and documented at https://idem-lab.github.io/traveltime/.

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来源期刊
Gates Open Research
Gates Open Research Immunology and Microbiology-Immunology and Microbiology (miscellaneous)
CiteScore
3.60
自引率
0.00%
发文量
90
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