five

LDU | UK (Eng, Scotand, Wales, NI) | 2020 Reachable Population Counts (by age and sex) within a 4 Hour timeframe by Truck | 48420 Origins

收藏
Datarade2024-04-19 收录
下载链接:
https://datarade.ai/data-products/ldu-uk-eng-scotand-wales-ni-2020-reachable-populatio-london-data-unit-48ae
下载链接
链接失效反馈
官方服务:
资源简介:
This is NOT a raw population dataset. We use our proprietary stack to combine detailed 'WorldPop' UN-adjusted, sex and age structured population data with a spatiotemporal OD matrix. The result is a dataset where each record indicates how many people can be reached in a fixed timeframe (4 hours in this case) from that record's location. The dataset is broken down into sex and age bands at 5 year intervals, e.g - male 25-29 (m_25) and also contains a set of features detailing the representative percentage of the total that the count represents. The dataset provides 48420 records, one for each sampled location. These are labelled with a h3 index at resolution 7 - this allows easy plotting and filtering in Kepler.gl / Deck.gl / Mapbox, or easy conversion to a centroid (lat/lng) or the representative geometry of the hexagonal cell for integration with your geospatial applications and analyses. A h3 resolution of 7, is a hexagonal cell area equivalent to: - ~1.9928 sq miles - ~5.1613 sq km Higher resolutions or alternate geographies are available on request. More information on the h3 system is available here: https://eng.uber.com/h3/ WorldPop data provides for a population count using a grid of 1 arc second intervals and is available for every geography. More information on the WorldPop data is available here: https://www.worldpop.org/ One of the main use cases historically has been in prospecting for site selection, comparative analysis and network validation by asset investors and logistics companies. The data structure makes it very simple to filter out areas which do not meet requirements such as: - being able to access 70% of the UK population within 4 hours by Truck and show only the areas which do exhibit this characteristic. Clients often combine different datasets either for different timeframes of interest, or to understand different populations, such as that of the unemployed, or those with particular qualifications within areas reachable as a commute.
提供机构:
London Data Unit
搜集汇总
数据集介绍
main_image_url
背景与挑战
背景概述
该数据集基于2020年英国人口数据,通过结合WorldPop人口统计和时空OD矩阵,计算了从48420个起点在4小时卡车可达范围内按性别和年龄细分的人口数量。数据以H3分辨率7的六边形单元组织,便于地理空间分析和应用,常用于选址评估和物流网络验证。
以上内容由遇见数据集搜集并总结生成
二维码
社区交流群
二维码
科研交流群
商业服务