共查询到19条相似文献，搜索用时 146 毫秒
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分析了AutoCAD和MapGIS两者图形数据特点和图形数据转换过程中需要注意的问题,重点阐述了对于简单的地质图件,如何在两者间进行直接的文件转换,并举例说明对于复杂地质图件如何借助MapInfo软件中的格式转化工具实现AutoCAD向MAPGIS的快速转换,解决了在AutoCAD数据向MapGIS数据转化的过程中一些复杂的问题,极大地减轻了数据转换工作量,提高了工作效率。 相似文献
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分析了不同数据源间的数据类型转换所面临的技术问题，并重点介绍了目前主流的数据库管理系统间的数据转换途径，最后具体介绍了如何转换DBF数据的方法。 相似文献
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刘勇 《吉林广播电视大学学报》2014,(2):11-12
本文以Vfp数据表与Excel之间的数据转换研究,以基于Xml数据规范的转换算法实现了Vfp数据表到Excel工作表的转换,为用户提供了更多转换控制和参数选择,不失为Vfp、Excel间数据转换的一种通用程序算法。 相似文献
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在用汇编语言编程时,将结果数据按不同的数制形式显示出来是一个难点。计算机中的机器数是按二进制形式进行处理和存储的,如何将它们进行转换,分别按二进制、十进制和十六进制等形式显示在显示器上,文章给出了具体的实现方法。 相似文献
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<正>在SQL Server实际应用中,经常会遇到不同数据库中的数据转换问题,而SQL Server提供了一组工具,该工具是一种图形工具盒可编程对象、使用户得以将取自完全不同源的数据析取、转移并合并成单个或多个目的。SQL Server SQL Server 2005数据转换服务的功能非常强大,它提供了以下3种主要的数据导入导出功能。1.使用Transact-SQL语言实现数据的导入导出2.使用命令行工具BCP实现数据的导入与导出 相似文献
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SHAO Jian-qiang 《教育技术导刊》2008,(3)
介绍了利用Java程序语言将Excel表格的数据导入到SQL SERVER2000数据库的过程,解决了当Excel电子表格中的数据转换为SQL Server2000数据库中的数据时出现的诸多问题。 相似文献
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陈文玲 《长江工程职业技术学院学报》2019,36(2):12-14,35
随着南方CASS和Arcgis的应用越来越广泛,它们之间的数据共享也变得越来越重要,然而要实现数据的共享,就要进行数据格式的转换,因此研究CASS到Arcgis的无损数据转换具有重要意义。利用Arcgis自身的软件功能,提出CASS数据格式向Arcgis数据格式转换的办法,并通过实例验证了转换方法与过程。 相似文献
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首先分析了MARC数据的结构和一些特殊字符在此结构中的功能。其次确定什么形式的数据用户易于理解。对MARC数据的转换和提取方法进行分析,提出MARC数据的转换提取方案和流程,给出JSP下的代码实现。最后就代码实现中遇到的特殊字符的ASCII码和中文字符占位问题提出了解决办法。 相似文献
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Rubin’s classic missingness mechanisms are central to handling missing data and minimizing biases that can arise due to missingness. However, the formulaic expressions that posit certain independencies among missing and observed data are difficult to grasp. As a result, applied researchers often rely on informal translations of these assumptions. We present a graphical representation of missing data mechanism, formalized in Mohan, Pearl, and Tian (2013). We show that graphical models provide a tool for comprehending, encoding, and communicating assumptions about the missingness process. Furthermore, we demonstrate on several examples how graph-theoretical criteria can determine if biases due to missing data might emerge in some estimates of interests and which auxiliary variables are needed to control for such biases, given assumptions about the missingness process. 相似文献
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The emerging field of Data Science has had a large impact on science and society. This has led to over a decade of calls to establish a corresponding field of Data Science Education. There is still a need, however, to more deeply conceptualize what a field of Data Science Education might entail in terms of scope, responsibility, and execution. This special issue explores how one distinguishing feature of Data Science—its focus on data collected from social and environmental contexts within which learners often find themselves deeply embedded—suggests serious implications for learning and education. The learning sciences is uniquely positioned to investigate how such contextual embeddings impact learners’ engagement with data including conceptual, experiential, communal, racialized, spatial, and political dimensions. This special issue demonstrates the richly layered relationships learners build with data and reveals them to be not merely utilitarian mechanisms for learning about data, but a critical part of navigating data as social text and understanding Data Science as a discipline. Together, the contributions offer a vision of how the learning sciences can contribute to a more expansive, agentive and socially aware Data Science Education. 相似文献
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《British Journal of Educational Studies》2012,60(4):467-486
ABSTRACTThis article draws upon research in one school in Queensland, Australia, to explore how the push to data influences teacher work and subsequent student learning. This ‘rise of data’, often oriented towards ‘external’ and performative processes of accountability, exhibits itself in many ways, but is particularly evident in teachers’ engagement with various forms of regionally and centrally sanctioned, and often standardized, measures of attainment, typically expressed in numbers. Drawing upon the sociology of numbers, and Pierre Bourdieu’s concepts of ‘field’, ‘habitus’ and ‘capital’, the research shows how the emphasis upon data collection reveals a ‘field of schooling practices’ characterized by concerns about collecting, analysing and improving numeric data; standardized and centrally sanctioned data as forms of capital of increasing value; and a teaching disposition/habitus characterized by constant monitoring of student performance through virtual and physical data bases. The research reveals how the ‘logics’ of schooling may be in danger of being dominated by more centralized, standardized forms of numeric data for performative accountability purposes, even as more educative logics are evident. 相似文献
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Amy Stornaiuolo 《学习科学杂志》2020,29(1):81-103
This article centers sociocultural and sociopolitical considerations of how young people understand, represent, and use data by presenting findings from a social design research study about how students in a public urban high school authored “data stories” using personal data they curated, collected, and visualized. The study contributes to theoretical understandings of critical data literacies by considering the experiences and practices of adolescents enrolled in a required media arts class as they produced data visualizations drawn from their everyday lives. Findings center on two aspects of critical data literacies youth developed—understanding themselves as people capable of using data for multiple purposes and understanding data as socially situated resources for meaning-making. This study foregrounds the importance of positioning youth as authors and architects of data, making central youth perspectives in understanding the role of data in young people’s digitally connected lives and highlighting the importance of expanding what “counts” as data. It also suggests the importance of creating infrastructure to support the development of culturally relevant data practices that highlight the social, cultural, and political uses of data and its racialized dimensions. 相似文献
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邱新红 《唐山师范学院学报》2009,31(2):102-104
为了解决科技电子政务系统数据之间的传输和共享问题,提出基于Web Service接口的数据交换平台架构,从而实现不同应用系统之间的数据交换与数据共享。 相似文献
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:数据窗口是PowerBuilder的精华之一 ,本文介绍了数据输入时的校验原理和方法 ,讨论了利用数据窗口上的校验规则和itemerror事件来保证数据输入时的正确性 ,并给出了具体实现。 相似文献