sptotal:用于从空间数据中预测总数和加权和的 R 软件包。

Matt Higham, Jay Ver Hoef, Bryce Frank, Michael Dumelle
{"title":"sptotal:用于从空间数据中预测总数和加权和的 R 软件包。","authors":"Matt Higham, Jay Ver Hoef, Bryce Frank, Michael Dumelle","doi":"10.21105/joss.05363","DOIUrl":null,"url":null,"abstract":"<p><p>In ecological or environmental surveys, it is often desired to predict the mean or total of a variable in some finite region. However, because of time and money constraints, sampling the entire region is often unfeasible. The purpose of the sptotal R package is to provide software that gives a prediction for a quantity of interest, such as a total, and an associated standard error for the prediction. The predictor, referred to as the Finite-Population-Block-Kriging (FPBK) predictor in the literature (J. M. Ver Hoef, 2008), incorporates possible spatial correlation in the data and also incorporates an appropriate variance reduction for sampling from a finite population. In the remainder of the paper, we give an overview of both the background of the method and of the sptotal package.</p>","PeriodicalId":16635,"journal":{"name":"Journal of open source software","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2023-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10494889/pdf/","citationCount":"0","resultStr":"{\"title\":\"sptotal: an R package for predicting totals and weighted sums from spatial data.\",\"authors\":\"Matt Higham, Jay Ver Hoef, Bryce Frank, Michael Dumelle\",\"doi\":\"10.21105/joss.05363\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>In ecological or environmental surveys, it is often desired to predict the mean or total of a variable in some finite region. However, because of time and money constraints, sampling the entire region is often unfeasible. The purpose of the sptotal R package is to provide software that gives a prediction for a quantity of interest, such as a total, and an associated standard error for the prediction. The predictor, referred to as the Finite-Population-Block-Kriging (FPBK) predictor in the literature (J. M. Ver Hoef, 2008), incorporates possible spatial correlation in the data and also incorporates an appropriate variance reduction for sampling from a finite population. In the remainder of the paper, we give an overview of both the background of the method and of the sptotal package.</p>\",\"PeriodicalId\":16635,\"journal\":{\"name\":\"Journal of open source software\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-05-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10494889/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of open source software\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.21105/joss.05363\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of open source software","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.21105/joss.05363","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

在生态或环境调查中,人们往往希望预测某个有限区域内变量的平均值或总量。然而,由于时间和资金的限制,对整个区域进行采样往往是不可行的。sptotal R 软件包的目的是提供一个软件,用于预测一个感兴趣的量,如总量,以及预测的相关标准误差。该预测器在文献(J. M. Ver Hoef, 2008 年)中被称为有限总体-块-克里金(FPBK)预测器,它包含了数据中可能存在的空间相关性,还包含了从有限总体中采样时的适当方差缩小。在本文的其余部分,我们将概述该方法和 sptotal 软件包的背景。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
sptotal: an R package for predicting totals and weighted sums from spatial data.

In ecological or environmental surveys, it is often desired to predict the mean or total of a variable in some finite region. However, because of time and money constraints, sampling the entire region is often unfeasible. The purpose of the sptotal R package is to provide software that gives a prediction for a quantity of interest, such as a total, and an associated standard error for the prediction. The predictor, referred to as the Finite-Population-Block-Kriging (FPBK) predictor in the literature (J. M. Ver Hoef, 2008), incorporates possible spatial correlation in the data and also incorporates an appropriate variance reduction for sampling from a finite population. In the remainder of the paper, we give an overview of both the background of the method and of the sptotal package.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
MousebreedeR: A novel software to assist in the design of breeding schema for complex genotypes of experimental organisms OpenTerrace: A fast, flexible and extendable Python framework for thermal energy storage packed bed simulations TrackSegNet: a tool for trajectory segmentation into diffusive states using supervised deep learning omni-fig: Unleashing Project Configuration and Organization in Python PowerAPI: A Python framework for building software-defined power meters
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1