Biases in morphological landscape features: challenges for environmental purposes in GIScience and related fields

IF 0.3 Q4 GEOGRAPHY CyberGeo-European Journal of Geography Pub Date : 2021-05-05 DOI:10.4000/CYBERGEO.36770
V. Chardon, Q. Poterek, C. Staentzel
{"title":"Biases in morphological landscape features: challenges for environmental purposes in GIScience and related fields","authors":"V. Chardon, Q. Poterek, C. Staentzel","doi":"10.4000/CYBERGEO.36770","DOIUrl":null,"url":null,"abstract":"During the last two decades, a wide range of geographical tools including the calculation of landscape metrics were transposed to ecological studies to build models for land-use dynamics. Currently, few studies have evaluated the biases which can occur during the rasterization step which could influence the results. The purpose of this study was to evaluate the influence of dataset rasterization on area and perimeter variables, which are frequently used to calculate landscape indices, according to (i) the rasterization cell size and (ii) the shape of geographic features. The Urban Atlas 2006 dataset focused on Bas-Rhin department (France) was used as a vector reference layer. Rasterization was performed for various cell sizes to evaluate the influence of spatial resolution on the errors injected into shape descriptors. Five morphological metrics were calculated for all geographic features. For the first time, a UMAP algorithm was performed to relate the rasterization relative errors at all spatial resolutions with morphological attributes. Results showed that low values of area errors were obtained for cell sizes lower than 5 m ( 10%) with an overestimation tendency. For cell sizes greater to 10 m, overestimations and underestimations were occurring according to the shape of geographic features. This study showed that sensitivity analyses must be performed before any study carried out on landscape changes estimation to define the best raster cell size as function to the morphological attributes of the geographic features, the predefined error threshold.","PeriodicalId":44890,"journal":{"name":"CyberGeo-European Journal of Geography","volume":null,"pages":null},"PeriodicalIF":0.3000,"publicationDate":"2021-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"CyberGeo-European Journal of Geography","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4000/CYBERGEO.36770","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"GEOGRAPHY","Score":null,"Total":0}
引用次数: 1

Abstract

During the last two decades, a wide range of geographical tools including the calculation of landscape metrics were transposed to ecological studies to build models for land-use dynamics. Currently, few studies have evaluated the biases which can occur during the rasterization step which could influence the results. The purpose of this study was to evaluate the influence of dataset rasterization on area and perimeter variables, which are frequently used to calculate landscape indices, according to (i) the rasterization cell size and (ii) the shape of geographic features. The Urban Atlas 2006 dataset focused on Bas-Rhin department (France) was used as a vector reference layer. Rasterization was performed for various cell sizes to evaluate the influence of spatial resolution on the errors injected into shape descriptors. Five morphological metrics were calculated for all geographic features. For the first time, a UMAP algorithm was performed to relate the rasterization relative errors at all spatial resolutions with morphological attributes. Results showed that low values of area errors were obtained for cell sizes lower than 5 m ( 10%) with an overestimation tendency. For cell sizes greater to 10 m, overestimations and underestimations were occurring according to the shape of geographic features. This study showed that sensitivity analyses must be performed before any study carried out on landscape changes estimation to define the best raster cell size as function to the morphological attributes of the geographic features, the predefined error threshold.
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
形态景观特征的偏差:地理信息科学和相关领域环境目的的挑战
在过去的二十年中,包括景观指标计算在内的广泛的地理工具被转移到生态研究中,以建立土地利用动态模型。目前,很少有研究对光栅化过程中可能产生的影响结果的偏差进行评估。本研究的目的是根据(i)栅格化单元的大小和(ii)地理特征的形状,评估数据集栅格化对经常用于计算景观指数的面积和周长变量的影响。城市地图集2006集中在下莱茵省(法国)的数据集作为矢量参考层。对不同的单元大小进行栅格化,以评估空间分辨率对注入形状描述符的误差的影响。计算了所有地理特征的五种形态指标。首次采用UMAP算法将所有空间分辨率下的栅格化相对误差与形态属性关联起来。结果表明,当细胞尺寸小于5 m时,面积误差值较低(10%),且有高估的趋势。对于大于10 m的细胞,根据地理特征的形状出现高估和低估。该研究表明,在进行景观变化估计研究之前,必须进行敏感性分析,以定义最佳栅格单元大小作为地理特征形态属性的函数,预定义的误差阈值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
CiteScore
0.60
自引率
25.00%
发文量
47
审稿时长
17 weeks
期刊介绍: Cybergeo, the electronic European Journal of Geography, is intended to promote faster communication of research and greater direct contact between authors and readers. Created with the aim of encouraging the exchange of ideas, methods and results, it publishes in any european language. It deals with the entire range of geographical concerns and interests, with no preferences for any particular school or theme. A high scientific standard is ensured by submitting articles to an international committee of readers. By hosting discussion and mailing list the journal aims to stimulate open debate and intellectual exchange. Access to the published articles is facilitated by a system of headings and key-words. For as long as is possible, access will be kept unrestricted and free of charge. CYBERGEO is intended as a response to the specific needs of academic communication, by offering the possibility of a rapid exchange of information, immediate feedback on articles and events relevant to geography, on-going discussions, the latest research on specific questions, offers of results or documents, information about the availability of maps, and so on. CYBERGEO aims to be an instrument for networking the geographical community, as well as helping to increase the external visibility of the discipline. In addition to the journal itself, a services heading offers a range of geographical information (data bases, servers, journal summaries, and so on).
期刊最新文献
Philipp Ther, 2023, How the West Lost the Peace: The Great Transformation Since the Cold War, Polity, 304 p. Is a dense city a healthy city? A preliminary study on the interplay between urban density and air quality in Oran, Algeria Contribution of maritime surveillance data to French Maritime Spatial Planning: between technical potential and political constraints Le péage urbain de Tromsø, l’urbanisme durable à l’épreuve de la périphéricité arctique Contribución de datos para vigilancia marítima orientados a la Planificación del Espacio Marítimo francés : entre potencial técnico y limitantes políticas
×
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