{"title":"海岸动力学分析器(CDA):基于横断面的海岸侵蚀分析 QGIS 插件","authors":"Pietro Scala, Giorgio Manno, Giuseppe Ciraolo","doi":"10.1016/j.softx.2024.101894","DOIUrl":null,"url":null,"abstract":"<div><div>Coastal erosion is a critical issue affecting shorelines worldwide, imposing effective monitoring and management strategies. We present the Coastal Dynamics Analyzer (CDA), a newly developed QGIS plugin designed for transect-based analysis of shoreline changes, enhancing both the accuracy and efficiency of coastal erosion studies. CDA seamlessly integrates into QGIS, providing an open-source, user-friendly tool that automates the calculation of key shoreline change metrics, including End Point Rate (EPR), Net Shoreline Movement (NSM), Shoreline Change Envelope (SCE), and Linear Regression Rate (LRR). This paper presents the motivation behind the CDA's development, its importance in addressing the limitations of existing tools such as the Digital Shoreline Analysis System (DSAS) and Analyzing Moving Boundaries Using R (AMBUR) and details its implementation. The plugin's functionalities are demonstrated through a case study in the Mediterranean Sea, showing its ability to generate accurate and reliable data for coastal management. By providing high quality results with considerable speed, CDA is promising to become a resource for researchers, coastal engineers, and policy makers involved in coastal erosion management and climate change adaptation planning.</div></div>","PeriodicalId":21905,"journal":{"name":"SoftwareX","volume":"28 ","pages":"Article 101894"},"PeriodicalIF":2.4000,"publicationDate":"2024-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2352711024002644/pdfft?md5=749400015d4540df975d910059e0ab47&pid=1-s2.0-S2352711024002644-main.pdf","citationCount":"0","resultStr":"{\"title\":\"Coastal dynamics analyzer (CDA): A QGIS plugin for transect based analysis of coastal erosion\",\"authors\":\"Pietro Scala, Giorgio Manno, Giuseppe Ciraolo\",\"doi\":\"10.1016/j.softx.2024.101894\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Coastal erosion is a critical issue affecting shorelines worldwide, imposing effective monitoring and management strategies. We present the Coastal Dynamics Analyzer (CDA), a newly developed QGIS plugin designed for transect-based analysis of shoreline changes, enhancing both the accuracy and efficiency of coastal erosion studies. CDA seamlessly integrates into QGIS, providing an open-source, user-friendly tool that automates the calculation of key shoreline change metrics, including End Point Rate (EPR), Net Shoreline Movement (NSM), Shoreline Change Envelope (SCE), and Linear Regression Rate (LRR). This paper presents the motivation behind the CDA's development, its importance in addressing the limitations of existing tools such as the Digital Shoreline Analysis System (DSAS) and Analyzing Moving Boundaries Using R (AMBUR) and details its implementation. The plugin's functionalities are demonstrated through a case study in the Mediterranean Sea, showing its ability to generate accurate and reliable data for coastal management. By providing high quality results with considerable speed, CDA is promising to become a resource for researchers, coastal engineers, and policy makers involved in coastal erosion management and climate change adaptation planning.</div></div>\",\"PeriodicalId\":21905,\"journal\":{\"name\":\"SoftwareX\",\"volume\":\"28 \",\"pages\":\"Article 101894\"},\"PeriodicalIF\":2.4000,\"publicationDate\":\"2024-09-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.sciencedirect.com/science/article/pii/S2352711024002644/pdfft?md5=749400015d4540df975d910059e0ab47&pid=1-s2.0-S2352711024002644-main.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"SoftwareX\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2352711024002644\",\"RegionNum\":4,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"COMPUTER SCIENCE, SOFTWARE ENGINEERING\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"SoftwareX","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2352711024002644","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, SOFTWARE ENGINEERING","Score":null,"Total":0}
Coastal dynamics analyzer (CDA): A QGIS plugin for transect based analysis of coastal erosion
Coastal erosion is a critical issue affecting shorelines worldwide, imposing effective monitoring and management strategies. We present the Coastal Dynamics Analyzer (CDA), a newly developed QGIS plugin designed for transect-based analysis of shoreline changes, enhancing both the accuracy and efficiency of coastal erosion studies. CDA seamlessly integrates into QGIS, providing an open-source, user-friendly tool that automates the calculation of key shoreline change metrics, including End Point Rate (EPR), Net Shoreline Movement (NSM), Shoreline Change Envelope (SCE), and Linear Regression Rate (LRR). This paper presents the motivation behind the CDA's development, its importance in addressing the limitations of existing tools such as the Digital Shoreline Analysis System (DSAS) and Analyzing Moving Boundaries Using R (AMBUR) and details its implementation. The plugin's functionalities are demonstrated through a case study in the Mediterranean Sea, showing its ability to generate accurate and reliable data for coastal management. By providing high quality results with considerable speed, CDA is promising to become a resource for researchers, coastal engineers, and policy makers involved in coastal erosion management and climate change adaptation planning.
期刊介绍:
SoftwareX aims to acknowledge the impact of software on today''s research practice, and on new scientific discoveries in almost all research domains. SoftwareX also aims to stress the importance of the software developers who are, in part, responsible for this impact. To this end, SoftwareX aims to support publication of research software in such a way that: The software is given a stamp of scientific relevance, and provided with a peer-reviewed recognition of scientific impact; The software developers are given the credits they deserve; The software is citable, allowing traditional metrics of scientific excellence to apply; The academic career paths of software developers are supported rather than hindered; The software is publicly available for inspection, validation, and re-use. Above all, SoftwareX aims to inform researchers about software applications, tools and libraries with a (proven) potential to impact the process of scientific discovery in various domains. The journal is multidisciplinary and accepts submissions from within and across subject domains such as those represented within the broad thematic areas below: Mathematical and Physical Sciences; Environmental Sciences; Medical and Biological Sciences; Humanities, Arts and Social Sciences. Originating from these broad thematic areas, the journal also welcomes submissions of software that works in cross cutting thematic areas, such as citizen science, cybersecurity, digital economy, energy, global resource stewardship, health and wellbeing, etcetera. SoftwareX specifically aims to accept submissions representing domain-independent software that may impact more than one research domain.