Support for the Generic Mapping Tools

通用测绘工具(GMT)软件包已经为海洋科学家服务了近25年。数以千计的联邦资助的美国科学家接受了使用GMT的培训，并依靠GMT提高他们的日常研究效率。格林威治标准时间？S处理数据和生成出版质量图形的能力使其成为大部分地球科学家的事实上的标准，通常与其他开源工具(如Python)或商业工具(如MatLab®)结合使用。GMT是一个UNIX命令行工具集，但开发人员现在可以使用GMT5 C/C++应用程序编程接口(API)设计新工具。两个这样的原型是GMT/MatLab API和正在开发中的GMT/PythonAPI。GMT、MatLab®和Python的交织使用概括了一大批海洋地球科学家的工作环境。GMT软件的更广泛影响是非同寻常的。GMT在成为美国/美国国家科学基金会地球科学研究基础设施的基本组成部分方面有着良好的记录，并在全球范围内造福于广泛的科学家和公众。该软件在真正的国际范围内促进和促进地球和海洋科学的全面科学。本项目将通过建立GMT指导委员会，将GMT从PI驱动的努力过渡到社区驱动的努力。软件版本5的升级包括汇编一本维护人员手册、最终确定MGG工具、代码强化和创建一个更易于维护的Postscript Light绘图库。这项工作仅部分涵盖的其他目标包括整合外部支持的地理投影库(PROJ4)、输入/输出库(OGR桥)和海岸线数据库(使用OpenStreetMap)。

The Generic Mapping Tools (GMT) software package has served marine scientists for almost 25 years. Thousands of federally funded US scientists have been trained to use GMT and count on GMT for their day-to-day research productivity. GMT?s power to process data and produce publication-quality graphics has made it a de facto standard for a large segment of geoscientists, often in combination with other opensource (e.g., Python) or commercial (e.g., MATLAB®) tools. GMT is a UNIX command-line tool set but developers can now design new tools using the GMT5 C/C++ Application Program Interface (API). Two such prototypes are the GMT/MATLAB API and an in-development GMT/Python API. The intertwined use of GMT, MATLAB® and Python encapsulates the working environment of a large group of marine geoscientists. The broader impacts of GMT software are extraordinary. GMT has a proven track record of being a fundamental part of US/NSF geoscience research infrastructure and benefits a wide range of scientists and the public on a global scale. The software promotes and enables science across the board in earth and ocean science on a truly international scale.The present project will undertake a transition of GMT from a PI-driven effort to a community-driven effort with the establishment of a GMT Steering Committee. Upgrades to version 5 of the software encompass assembling a Maintainers handbook, finalizing MGG tools, code hardening and creation of a Postscript Light plotting library for easier maintenance. Additional goals that are only partially covered by this effort include integration of externally supported geographic projection (PROJ4) library, an input/output library (OGR bridge) and the coastline database (using OpenStreetMap).