Facilitating the exchange of vegetation data

促进植被数据交换

• 批准号: 460840087
• 负责人: Professor Dr. Sebastian Schmidtlein
• 金额: --
• 依托单位: Institut für Geographie und Geoökologie (IFGG)
• 依托单位国家: 德国
• 项目类别: Research Grants
• 财政年份: 2021
• 资助国家: 德国
• 起止时间: 2020-12-31 至 2021-12-31
• 项目状态: 已结题
• 来源: https://gepris.dfg.de/gepris/projekt/460840087?language=en
• 关键词: Facilitating; exchange; vegetation; data

There is a huge amount of data on the co-occurrence of plants in the world. The ability to combine such local or regional data and to exchange data between datasets is highly desirable but most of the plot databases have their own vocabularies, definitions of fields and ‘idiosyncratic structures’. The approach of combining such data in large, centralized data-bases is currently developing well. In addition, however, it would be very desirable if data could be exchanged directly and as loss-free as possible with little effort.The fact that there is no generally accepted standard format for loss-free exchange leads to an extremely high expenditure for data conversions. This is not to say that there are no exchange formats but formats such as the one used for import into the Turboveg software are aimed at a specific target data structure and at standardisation rather than a loss-free exchange. For this reason, there has already been an attempt to develop a new open standard to exchange vegetation-plot data (Veg-X). One of the impediments to the adoption of Veg-X by the scientific community has been its complexity, which is required to accommodate the wide variety of ways vegetation plot data are collected and stored. To ensure that the Veg-X standard serves its purpose, the proposed project aims to facilitate its use.The approach is two-fold. One element is the further development of an R-package for the easy import and export of existing plot data into the Veg-X format. This includes the development of an R Shiny app which allows the functions of the package to be used independently of an R-installation. The second part of the project consists of the implementation of a Veg-X export function for Vegapp, an Android app for vegetation records. This will allow to produce Veg-X data in the field. Both, the R shiny app and Vegapp will facilitate the transformation of data in the Veg-X standard for users who are unfamiliar with R. The web-based application and the data collection tool with Veg-X export will contribute substantially to the exchange, harmonization and reuse of vegetation plot data and should thus advance the study of vegetation.

关于世界上植物的共发生有大量数据。非常需要结合此类本地或区域数据并在数据集之间交换数据的能力，但是大多数绘图数据库都有自己的声音，字段的定义和“特质结构”。当前，将此类数据组合在大型集中数据基础中的方法目前正在发展良好。但是，此外，如果可以直接更改数据并且尽可能地不损失的情况下，这将是非常可取的，这一事实是，没有普遍接受的无损失交换的标准格式导致数据转换的支出极高。这并不是说没有交换格式，而是诸如用于导入到涡轮增压软件的格式旨在针对特定的目标数据结构和标准化，而不是无损失的交换。因此，已经尝试开发一种新的开放标准来交换植被图数据（VEG-X）。科学界采用VEG-X的障碍之一是它的复杂性，这是为了适应收集和存储植被图的各种方式所需的。为了确保VEG-X标准达到其目的，拟议的项目旨在促进其使用。该方法是两倍。一个要素是R包的进一步开发，以便于将现有的绘图数据简化和导出到VEG-X格式中。这包括开发R光泽应用程序，该应用程序允许包装的功能独立于R启用。该项目的第二部分包括为Vegapp实施VEG-X出口功能，Vegapp是一种用于植被记录的Android应用程序。这将允许在现场产生VEG-X数据。 R Shiny App和Vegapp均可促进VEG-X标准中数据的转换。