[摘　要]： Qualitative research is an integral part of both academic and non-academic research in various disciplines, including sociology, anthropology, geography, education, health sciences and other social sciences. In order to facilitate.. Abstract Qualitative research is an integral part of both academic and non-academic research in various disciplines, including sociology, anthropology, geography, education, health sciences and other social sciences. In order to facilitate the expanding use of qualitative research in various disciplines, newer and more sophisticated exploratory tools that assist qualitative researchers in the entire research process ranging from exploration, analysis, synthesis to presentation of data is required. Visualization presents exciting possibilities in this regard and building an exploratory visualization tool for this purpose would be ideal. Current computer assisted qualitative data analysis software (CAQDAS) have aided qualitative researchers in coding, searching, indexing and analyzing their data. However these software have several shortcomings in terms of supporting the entire research process including inability to deal with geographic and temporal analysis as well as limited exploratory capabilities. I posit that an exploratory visualization tool can overcome the limitations posed by current CAQDAS and expand many possibilities for qualitative researchers. For this purpose I draw upon tools and techniques from current geovisualization and information visualization literature to propose a visualization framework for qualitative researchers which can be later be extended into an exploratory tool.  Introduction Qualitative research has always been an important mode of enquiry for social and human science exploration. There is also an increasing focus on qualitative methods of inquiry in multidisciplinary and cross disciplinary research areas in order to capture broader aspects of human and social behavior. Qualitative research also has a very broad range of enquiry methods, huge quantities of data, complex relationships between the researchers and participants, intricate theories and reflexive accounts. Exploring, analyzing, synthesizing these intricate maze of data requires understanding these complexities in detail and the multiple perspectives from which it evolves. To facilitate some of these complexities, certain computer assisted qualitative data analysis software (CAQDAS) have evolved from the early 1990s which enable qualitative researchers with certain tasks such as organization, coding, sorting, searching and analyzing data. However with the expanding use of qualitative research in various disciplines with multiple perspectives and complex data types, more robust and sophisticated computer assisted tools are needed that would assist qualitative researchers in the entire complexity of the research process beginning with exploration, analysis, synthesis and presentation. Developing an exploratory visualization tools can help in this regard. In this paper, I outline in detail how visualization techniques and tools are greatly increasing in demand among qualitative researchers and how they can help qualitative researchers in the entire research process.

[摘要]：摘要定性研究是在不同学科，包括社会学，人类学，地理，教​​育，健康科学和其他社会科学的学术和非学术研究的一个组成部分。为了便于..摘要定性研究是在不同学科，包括社会学，人类学，地理，教​​育，健康科学和其他社会科学的学术和非学术研究的一个组成部分。为了方便使用定性研究扩大在各个学科，探索更新，更复杂的工具，帮助研究人员在整个研究过程中，从勘探，分析，综合数据演示定性是必需的。可视化呈现令人兴奋的可能性，在这方面建立一个试探性的可视化工具，用于此目的，将是理想的。目前的电脑辅助定性数据分析软件（CAQDAS）资助定性研究人员在编码，搜索，索引和分析他们的数据。然而，这些软件在支持整个研究过程，包括地理和时间的分析，以及探索能力有限无法处理方面有几个缺点。我断定，探索性可视化工具可以克服的局限性带来的流动CAQDAS为定性研究者和扩大了许多可能性。为此，我会从目前的的地理视觉和信息可视化文学借鉴的工具和技术，以后可以扩展成一个试探性的工具为定性研究者提出了一个可视化框架。留学生论文http://www.jian-shen.com/简介定性研究一直为社会和人类科学探索的重要方式查询。还有一个越来越注重多学科和跨学科的研究领域，以便查询，以争取更大的人类行为和社会行为方面的定性方法。定性研究也具有非常广泛的查询方法，大量的数据，研究者和参与者，复杂的理论和自反账户之间的复杂关系。探索，分析，综合这些错综复杂的迷宫数据，需要理解这些复杂的细节和多角度，从它的发展。为了方便一些这些复杂性，某些电脑辅助定性数据分析软件（CAQDAS）的进化使定性研究与某些任务，如组织，编码，分类，搜索和分析数据从20世纪90年代初。然而，随着扩大使用定性研究在各个学科与多个视角和复杂的数据类型，更强大和先进的电脑辅助工具是必要的，这将有助于在整个研究过程中的复杂性开始定性研究与勘探，分析，综合和演示。制定一项探索性可视化工具可以帮助在此方面。在本文中，我概述详细介绍了如何可视化技术和工具，大大增加了定性研究人员之间的需求，以及如何在整个研究过程中，他们可以帮助定性研究。