基于已有生态系统分类数据成果的转化生产是快速获取生态系统分类数据的有效手段。为解决当前ArcGIS软件基础功能无法满足快速化和批量化数据转化生产要求的问题,本文在Visual Studio 2012开发环境下,采用C#语言,基于ArcGIS Add-in插件...基于已有生态系统分类数据成果的转化生产是快速获取生态系统分类数据的有效手段。为解决当前ArcGIS软件基础功能无法满足快速化和批量化数据转化生产要求的问题,本文在Visual Studio 2012开发环境下,采用C#语言,基于ArcGIS Add-in插件式开发技术,设计并实现了生态系统分类数据生产辅助工具。结果表明,该工具在减少作业量的同时,能够保证数据生产的质量,有效提高了项目的生产效率。展开更多
为完成全省各县(市、区)森林资源规划设计调查成果属性数据格式的一致性检查,在Visual Studio 2015开发环境下基于ArcObjects的开发接口,采用C#语言编写开发与浙江省森林资源规划调查技术规程要求的标准格式对比的ArcGIS插件,实现森林...为完成全省各县(市、区)森林资源规划设计调查成果属性数据格式的一致性检查,在Visual Studio 2015开发环境下基于ArcObjects的开发接口,采用C#语言编写开发与浙江省森林资源规划调查技术规程要求的标准格式对比的ArcGIS插件,实现森林资源规划设计调查成果属性数据格式一致性检查自动化,具有准确、快捷、高效的特点。展开更多
This paper presents a systematic view of most up-to-date tools, technologies and techniques which is appropriate not only for effective decision making, but also helpful for competent administration to provide efficie...This paper presents a systematic view of most up-to-date tools, technologies and techniques which is appropriate not only for effective decision making, but also helpful for competent administration to provide efficient resolution for spatial troubles of Khasra and Parcel management. Different Data collection techniques have been applied on different data sources. Worldview II of 0.5 resolution image, scanned Master Plan and Cadastral/Khasra Maps was used for development of geodatabase for spatial and non-spatial entities using ArcGIS 10.2. Multiple processing on Satellite Imagery using ERDAS Imagine was performed like Image enhancement, Mosaicking and Color Balancing, Image Geo-referencing and Raster Cataloging. Development of Customize Graphical User Interface (GUI) for DHA’s officials and administrator makes efficient decision in society matters. This is the first spatial GUI, for DHA to plan and maintain society’s activities efficiently, in the form of ArcMap Add-Ins. These Add-Ins are written in C#.Net using ArcObjects APIs within MSVS 2012.展开更多
XLR is an Excel add-in that unifies the user friendly, widely popular interface of Excel with the powerful and robust computational capability of the GNU statistical and graphical language R. The add-in attempts to ad...XLR is an Excel add-in that unifies the user friendly, widely popular interface of Excel with the powerful and robust computational capability of the GNU statistical and graphical language R. The add-in attempts to address the American Statistical Association’s comment that “Generic packages such as Excel are not sufficient even for the teaching of statistics, let alone for research and consulting.” R is the program of choice for researchers in statistical methodology that is freely available under the Free Software Foundation’s GNU General Public License (GPL) Agreement. By wedding the interactive mode of Excel with the power of statistical computing of R, XLR provides a solution to the problem of numerical inaccuracy of using Excel and its various internal statistical functions and procedures by harnessing the computational power of R. XLR will be distributed under the GNU GPL Agreement. The GPL puts students, instructors and researchers in control of their usage of the software by providing them with the freedom to run, copy, distribute, study, change and improve the software, thus, freeing them from the bondage of proprietary software. The creation of XLR will not only have a significant impact on the teaching of an Introductory Business Statistics course by providing a free alternative to the commercial proprietary software but also provide researchers in all disciplines who require sophisticated and cutting edge statistical and graphical procedures with a user-friendly interactive data analysis tool when the current set of available commands is expanded to include more advance procedures.展开更多
文摘基于已有生态系统分类数据成果的转化生产是快速获取生态系统分类数据的有效手段。为解决当前ArcGIS软件基础功能无法满足快速化和批量化数据转化生产要求的问题,本文在Visual Studio 2012开发环境下,采用C#语言,基于ArcGIS Add-in插件式开发技术,设计并实现了生态系统分类数据生产辅助工具。结果表明,该工具在减少作业量的同时,能够保证数据生产的质量,有效提高了项目的生产效率。
文摘为完成全省各县(市、区)森林资源规划设计调查成果属性数据格式的一致性检查,在Visual Studio 2015开发环境下基于ArcObjects的开发接口,采用C#语言编写开发与浙江省森林资源规划调查技术规程要求的标准格式对比的ArcGIS插件,实现森林资源规划设计调查成果属性数据格式一致性检查自动化,具有准确、快捷、高效的特点。
文摘This paper presents a systematic view of most up-to-date tools, technologies and techniques which is appropriate not only for effective decision making, but also helpful for competent administration to provide efficient resolution for spatial troubles of Khasra and Parcel management. Different Data collection techniques have been applied on different data sources. Worldview II of 0.5 resolution image, scanned Master Plan and Cadastral/Khasra Maps was used for development of geodatabase for spatial and non-spatial entities using ArcGIS 10.2. Multiple processing on Satellite Imagery using ERDAS Imagine was performed like Image enhancement, Mosaicking and Color Balancing, Image Geo-referencing and Raster Cataloging. Development of Customize Graphical User Interface (GUI) for DHA’s officials and administrator makes efficient decision in society matters. This is the first spatial GUI, for DHA to plan and maintain society’s activities efficiently, in the form of ArcMap Add-Ins. These Add-Ins are written in C#.Net using ArcObjects APIs within MSVS 2012.
文摘XLR is an Excel add-in that unifies the user friendly, widely popular interface of Excel with the powerful and robust computational capability of the GNU statistical and graphical language R. The add-in attempts to address the American Statistical Association’s comment that “Generic packages such as Excel are not sufficient even for the teaching of statistics, let alone for research and consulting.” R is the program of choice for researchers in statistical methodology that is freely available under the Free Software Foundation’s GNU General Public License (GPL) Agreement. By wedding the interactive mode of Excel with the power of statistical computing of R, XLR provides a solution to the problem of numerical inaccuracy of using Excel and its various internal statistical functions and procedures by harnessing the computational power of R. XLR will be distributed under the GNU GPL Agreement. The GPL puts students, instructors and researchers in control of their usage of the software by providing them with the freedom to run, copy, distribute, study, change and improve the software, thus, freeing them from the bondage of proprietary software. The creation of XLR will not only have a significant impact on the teaching of an Introductory Business Statistics course by providing a free alternative to the commercial proprietary software but also provide researchers in all disciplines who require sophisticated and cutting edge statistical and graphical procedures with a user-friendly interactive data analysis tool when the current set of available commands is expanded to include more advance procedures.
