WHAT IS THE VISUALIZATION ATLAS.TI IS LOOKING FOR?
SECOND ATLAS.TI USER CONFERENCE: QUALITATIVE DATA ANALYSIS AND BEYOND
BERLIN, AUGUST 29-31, 2015
CÉSAR A. CISNEROS PUEBLA
UAM IZTAPALAPA, MÉXICO
COMPUTACIÓN CUALITATIVA CONSULTORES
OUTLINE
1. USGIF 2015 REPORT AS A MODEL FOR DISCUSSION
2. VISUALIZATION, QDA AND ATLAS.TI
3. QUESTIONS
USGIF 2015 REPORT AS A MODEL FOR DISCUSSION
WHAT'S ON THE HORIZON OF THE UNITED STATES GEOSPATIAL INTELLIGENCE FOUNDATION (USGIF):
• THE CLOUDS AND CROWDS: THE NEED TO SOLVE GLOBAL ISSUES WILL GIVE RISE TO THE “CROWDS,” WHICH WILL BE SUPPORTED BY ADVANCED CLOUD COMPUTING SYSTEMS.
• THE VISUALIZATION IMPERATIVE: THE RISE OF ADVANCED VISUALIZATION WILL HELP THE IC TO ENHANCE DECISION-MAKING EFFORTS.
• HUMAN CENTRIC DATA IMMERSION: THE BROADENING OF GEO-LOCATION SERVICES WILL CREATE A HUMAN-CENTRIC APPROACH TO GEOINT.
• DATA PRIVACY AND SECURITY: ISSUES ASSOCIATED WITH DATA PRIVACY AND SECURITY WILL MERIT INCREASING ATTENTION.
• FEDERAL GEOINT AT A CROSSROADS: GEOSPATIAL CAPABILITIES HAVE BECOME UBIQUITOUS. AS SUCH, IT’S TIME FOR THE FEDERAL DOMAIN TO AGGRESSIVELY EMBRACE THESE SHIFTS TO MEET NATIONAL GOALS.
TO RETHINK OUR CONCEPTUALIZATION OF THE EMERGING VISUALIZATION IMPERATIVE:
• REQUIRES A MORE SELF-CONSCIOUS UNDERSTANDING OF SPATIAL AND TEMPORAL ASPECTS OF VISUALIZATION
• INVESTMENTS IN ENTERPRISE-LEVEL SEARCH AND DISCOVERY CAPABILITIES
• CLOUD-BASED KNOWLEDGE MANAGEMENT PROGRAMS
• NEW CONTENT MANAGEMENT SERVICES MUST BE MATCHED WITH SIMILAR INVESTMENTS IN TRAINING, ANALYTIC VISUALIZATION TOOLS
• AND THE UNDERSTANDING OF CUSTOMER REQUIREMENTS
WHAT IS THE AUTHORITY OF THE IMAGE (VISUALIZATION)?
• THE MOST FUNDAMENTAL (QUANTITATIVE AND QUALITATIVE?) DATA ANALYSIS APPROACHES ARE:
• GRAPHICS (HISTOGRAMS, SCATTER PLOTS, SURFACE PLOTS, TREE MAPS, PARALLEL COORDINATE
PLOTS, ETC.)
• STATISTICS (HYPOTHESIS TEST, REGRESSION, MULTIDIMENSIONAL SCALLING, ETC.)
• DATA MINING (ASSOCIATION MINING, CORRESPONDANCE ANALYSIS, ETC.)
• AND MACHINE LEARNING METHODS (CLUSTERING, CLASSIFICATION, DECISION TREES, ETC.).
VISUALIZATION, QDA AND ATLAS.TI
SOME ISSUES
• THERE ARE STUDIES ON USING QDA TOOLS FOR VISUALLY DISPLAYING DATA, METHODS AND FINDINGS (WOODS, PAULUS, ATKINS &MACKLIN, 2015) AND VISUAL REPRESENTATION OF DATA (VERDINELLI & SCAGNOLI, 2013)
• RESULTS INDICATED THAT THE USE OF CAQDAS IS RELATIVELY LOW AND THE RESEARCHERS PREFER USE SCREEN SHOTS TO ILLUSTRATE CODING PROCESSES, OR PROGRAM OUTPUTS THAT VISUALLY DEPICTED CODING/CONCEPTUAL SCHEMAS AND RELATIONSHIPS BETWEEN DATA AND CODES
DATA CONSTRUCTION AND/OR DATA DISPLAY
• HYPERLINKS
• COMMENTS
• CODES AND CODING
• MEMOS
• NEWTORK VIEW
• FAMILIES
• PD, CODE, MEMO, CODE LINK, HYPERLINK MANAGERS, AND SO ON
• CO-OCURRENCE AND OPERATORS
• RELATIONS
• ICONS
• EXPORT FUNCTIONS
• WHAT ABOUT WORDLE OR WORDCLOUDS AND WORD THREES, PROXIMITY PLOTS, AND OTHER TEXTUAL ANALYTICS?
EXAMPLE: REPORT AND XML EXPLORER
EXAMPLE: QUOTATION RENAMING AND GE
EXAMPLE: CODES-PRIMARY DOCUMENTS TABLE
EXAMPLE: C-INDEX & SEMANTIC CONNECTIVITY
REFLECTION 0N VISUAL THINKING
• QUANTITATIVELY OR QUANTITATIVELY DRIVEN DISPLAY: THAT´S THE QUESTION
• WHO NEEDS A DAVID MCCANDLESS HTTP://WWW.DAVIDMCCANDLESS.COM/ OF QDA? I DO!
• MY? OR OUR CHALLENGE? SEMINAL TUFTE´S BOOK (1983) THE VISUAL DISPLAY OF QUANTITATIVE INFORMATION
• THE VISUAL DISPLAY OF QUALITATIVE DATA… FORTHCOMING…WHO IS THE AUTHOR?
QUESTIONS
• DEVELOPMENT OF SOPHISTICATED DATA VISUALIZATION TOOLS OR KEEP SCREEN SHOTS AS STRATEGY FOR COMMUNICATION?
• BALANCING ART AND SCIENCE. HOW?
• USING COLOR AS A VISUAL BEACON OR TARGET (AS IN DISPLAYING C-COEFFICIENTS ALONG WITH CO-OCCURRENCE FREQUENCIES)
• USING PATTERNS (SHAPES, FORMS, OR TEXTURES) TO RECOGNIZE WHAT DATA ARE CONNECTED AND HOW (CATEGORICAL CUES SUCH AS DOTS, LINES, OR CLUSTERS, OR OTHER ORDINAL VISUAL CUES SUCH AS COLOR, SHAPES, AND LINES)
“SIMPLICITY IS THE ULTIMATE SOPHISTICATION” LEONARDO DA VINCI
• CREATIVELY THINKING ON DATA MANAGEMENT AND REPRESENTATION TO OVERCOME
TRADITITONAL AND SIMPLISTIC GRAPHS, TIMELINES, AND CHARTS
• DATA VISUALIZATION AS THE GRAPHICAL PRESENTATION OF MULTIDIMENSIONAL DATA SO THAT VIEWERS CAN UNDERSTAND THE UNDERLYING STRUCTURE AND HIDDEN DATA RELATIONSHIPS
• VISUALIZATION IMPERATIVE TO TRANSFORM QDA INTO A RENEWED ANTI-POSITIVISTIC WAY OF DEPICTING DATA AND POST-STRUCTURALIST WAY OF DISPLAYING QUALITATIVE THINKING
• VISUAL EXPLANATIONS AS QDAS´ TARGET
