Climate and its effects need to be examined within a more planned and comprehensive framework to prevent the unfavorable impact of climate change. Thus, climate effects on the ecosystem can be identified by determining the geographical boundaries of different climate types. The Köppen, Trewartha, Thornthwaite, Erinc, Aydeniz, De Martonne, and De Martonne–Gottman methods are used in the classification of climates. These methods enable the regional differences of climate types to be determined and their changes over the years to be examined. A number of studies examining climate classes have produced graphic findings and maps. The absence of new approaches has resulted in climate classifications still being carried out via manual studies. However, a program for identifying and representing these methods in a convenient, fast, and automated way could facilitate the completion of analyses in a shorter time. The programming languages developed in recent years have made it easy to design interface models that can perform analyses faster and easier than prolonged manual methods. In this study, a climate boundary determination interface model, designed using the Python programming language, was developed for use in the ArcGIS 10.6 program to determine geographical climate boundaries automatically. The provinces of Artvin, Ordu, Rize, Trabzon, Giresun, Bayburt, and Samsun (Turkey) were chosen as the study area to test the interface model. The resulting interface model design is expected to: (1) address the dimensions of climate change in Intergovernmental Panel on Climate Change studies; (2) identify the climate changes in our country as an objective of the National Climate Change Strategy; and (3) determine the land-use changes caused by climate boundaries and examine the ownership dimension of the adaptation process in the declaration published by the International Geodesy Federation in 2014.

需要在更有计划和更全面的框架内审查气候及其影响，以防止气候变化的不利影响。因此，可以通过确定不同气候类型的地理边界来确定气候对生态系统的影响。Köppen、Trewartha、Thornthwaite、Erinc、Aydeniz、De Martonne 和 De Martonne-Gottman 方法用于气候分类。这些方法可以确定气候类型的区域差异并检查它们多年来的变化。许多检查气候类别的研究已经产生了图形结果和地图。缺乏新方法导致气候分类仍然通过手动研究进行。然而，一个用于识别和表示这些方法的程序方便、快速、自动化的方式可以促进在更短的时间内完成分析。近年来开发的编程语言使得设计界面模型变得容易，这些模型可以比长时间的手动方法更快、更容易地执行分析。在本研究中，开发了使用 Python 编程语言设计的气候边界确定接口模型，用于在 ArcGIS 10.6 程序中自动确定地理气候边界。Artvin、Ordu、Rize、Trabzon、Giresun、Bayburt 和 Samsun（土耳其）省被选为研究区域来测试界面模型。预计由此产生的界面模型设计将： (1) 解决政府间气候变化专门委员会研究中气候变化的维度；(2) 将我国的气候变化确定为国家气候变化战略的目标；(3) 确定气候边界引起的土地利用变化，并在国际大地测量联合会 2014 年发布的声明中检查适应过程的所有权维度。