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Increasing the chance that landscape- and regional-level hypotheses will reflect important spatial patterns

LANDSCAPE ECOLOGY 2013年第10期28卷 1849-1858页

作者： Gutzwiller, Kevin J. Baylor Univ Dept Biol Waco TX 76798 USA

Development of new ecological knowledge depends in part on the hypotheses that get tested, and little headway in establishing ecological truth is likely if hypotheses fail to reflect important spatial patterns. Careful exploration for spatial patterns during initial hypothesis formation-before tests of hypotheses and tests of statistical significance are pursued-is therefore essential. Exploratory analyses that rely on quantitative methods alone would preclude detection of important and unexpected spatial patterns that might be suggested or become apparent only through graphical visualization of spatial structure. Geographic mapping of spatial eigenvectors has the potential to improve knowledge about autocorrelation-related patterns by revealing pattern size, shape, geographic location, and directional orientation. Such map information is valuable because it may visually elicit insights about possible landscape- and regional-level drivers that no summary statistic, bivariate scatter plot, or statistical model alone could evoke. Including visual assessments of spatial structure in exploratory analyses may improve the chance that important spatial patterns will be discovered and hence considered during development of initial landscape- and regional-level hypotheses. These benefits in turn have the potential to strengthen the spatial validity of associated inferences.

关键词： Distance-based Moran's eigenvector maps Exploratory analysis Geographic mapping graphical visualization Principal coordinates of neighbor matrices Spatial autocorrelation Spatial eigenvector analysis

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An approach for knowledge acquisition from a survey data by conducting Bayesian network modeling, adopting the robust coplot method

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JOURNAL OF APPLIED STATISTICS 2022年第16期49卷 4069-4096页

作者： Ersel, Derya Atilgan, Yasemin Kayhan Hacettepe Univ Dept Stat Ankara Turkey

This study proposes a methodological approach for extracting useful knowledge from survey data by performing Bayesian network (BN) modeling and adopting the robust coplot analysis results as prior knowledge about association patterns hidden in the data. By addressing the issue of BN construction when the expert knowledge is limited/not available, this proposed approach facilitates the modeling of large data sets describing numerously observed and latent variables. By answering the question of which node(s)/link(s) should be retained or discarded from a BN, we aim to determine a compact model of variables while considering the desired properties of data. The proposed method steps are explained on real data extracted from Turkey Demographic and Health Survey. First, a BN structure is created, which is based solely on the judgment of the analyst. Then the coplot results are employed to update the BN structure and the model parameters are updated using the updated structure and data. Loss scores of the BNs are used to ensure the success of the updated BN that inherits knowledge from coplot.

关键词： Bayesian network structural learning graphical visualization robust coplot analysis variable elimination

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Quantitative motion analysis and visualization of cellular structures

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METHODS 2003年第1期29卷 3-13页

作者： Gerlich, D Mattes, J Eils, R Deutsch Krebsforschungszentrum D-69120 Heidelberg Germany

The availability of cellular markers tagged with the green fluorescent protein (GFP) has recently allowed a large number of cell biological studies to be carried out in live cells, thereby addressing the dynamic organization of cellular structures. Typically, microscopes capable of video recording are used to generate time-resolved data sets. Dynamic imaging data are complex and often difficult to interpret by pure visual inspection. Therefore, specialized image processing methods for object detection, motion estimation, visualization, and quantitation are required. In this review, we discuss concepts for automated analysis of multidimensional image data from live cell microscopy and their application to the dynamics of cell nuclear subcompartments. (C) 2002 Elsevier Science (USA). All rights reserved.

关键词： four-dimensional imaging live cell microscopy graphical visualization motion analysis single-particle tracking segmentation registration optical flow active contour confinement tree

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Visualizing the logic of a clinical guideline: A case study in childhood immunization

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METHODS OF INFORMATION IN MEDICINE 1997年第3期36卷 179-183页

作者： Brandt, CA Frawley, SJ Powsner, SM Shiffman, RN Miller, PL Yale University School of Medicine New Haven CT USA. cynthia.brandt@yale.edu

IMM/Graph is a visual model designed to help knowledge-base developers understand and refine the guideline logic for childhood immunization. The IMM/Graph model is domain-specific and was developed to help build a knowledge-based system that makes patient-specific immunization recommendations. A ''visual vocabulary'' models issues specific to the immunization domain, such as (1) the age a child is first eligible for each vaccination dose, (2) recommended, ''past due'' and maximum ages, (3) minimum waiting periods between doses, (4) the vaccine brand or preparation to be given, and (5) the various factors affecting the time course of vaccination. Several lessons learned in the course of developing IMM/Graph include the following: (1) The intended use of the model may influence the choice of visual presentation;(2) There is a potentially interesting interplay between the use of visual and textual information in creating the visual model;(3) visualization may help a development team better understand a complex clinical guideline and may also help highlight areas of incompleteness.

关键词： clinical guidelines graphical visualization childhood immunization guidelines

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FacetMap: A scalable search and browse visualization

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IEEE TRANSACTIONS ON visualization AND COMPUTER GRAPHICS 2006年第5期12卷 797-804页

作者： Smith, Greg Czerwinski, Mary Meyers, Brian Robbins, Daniel Robertson, George Tan, Desney S. Microsoft Research

The dominant paradigm for searching and browsing large data stores is text-based: presenting a scrollable list of search results in response to textual search term input. While this works well for the Web, there is opportunity for improvement in the domain of personal information stores, which tend to have more heterogeneous data and richer metadata. In this paper, we introduce FacetMap, an interactive, query-driven visualization, generalizable to a wide range of metadata-rich data stores. FacetMap uses a visual metaphor for both input (selection of metadata facets as filters) and output. Results of a user study provide insight into tradeoffs between FacetMap's graphical approach and the traditional text-oriented approach.

关键词： graphical visualization interactive information retrieval faceted metadata

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ScaffViz: visualizing metagenome assemblies

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GENOME BIOLOGY 2011年第SUPPL 1期12卷 8-9页

作者： Koren, Sergey Treangen, Todd Pop, Mihai Univ Maryland Dept Comp Sci College Pk MD 20742 USA Univ Maryland Ctr Bioinformat & Computat Biol College Pk MD 20742 USA Johns Hopkins Univ Sch Med McKusick Nathans Inst Genet Med Baltimore MD 21205 USA

关键词： graphical visualization Alternative Sequence Viewer Package Graph Viewer Assembly Result

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Story Creation System: Bringing Up Child's Creativity with Adult's Interactive Support by Multimedia 4

Story Creation System: Bringing Up Child's Creativity with A...

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3rd International Conference On Advanced Informatics - Concepts, Theory And Application (ICAICTA)

作者： Kuraya, Sanae Kamisato, Shihoko Ishida, Yoshiteru Toyohashi Univ Technol Dept Comp Sci & Engn Tempaku Ku Toyohashi Aichi 4418580 Japan Okinawa Coll Natl Inst Technol Dept Informat & Commun Syst Engn Henoko Nago 9052192 Japan

ISBN: (纸本)9781509016365

We have developed a story creation system for children to make his/her own story whilst interacting with parents. To support the narrative interaction, the system includes a function for providing a question to create a story. The story will be created by choosing words and pictures given by the database. This paper proposes a matching based design where matching can be undertaken by a database of relatedness among words. Algorithms to modify the relatedness based on choices made by children are also presented. We visualize the database by a graph to verify if an appropriate modification is made.

关键词： Story Creation Children's Creativity Degree of Association Keyword Extraction graphical visualization

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A Smart Home Energy Consumption Monitoring System Integrated with Internet Connection 9

A Smart Home Energy Consumption Monitoring System Integrated...

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9th IEEE International Conference on Communication, Networks and Satellite (IEEE Comnetsat)

作者： Muliadi Fahrezi, M. Yogi Areni, Intan Sari Palantei, Elyas Achmad, Andani Univ Hasanuddin Elect Engn Dept Makassar Indonesia Univ Negeri Makassar Dept Elect Educ Engn Makassar Indonesia

ISBN: (纸本)9780738125176

The use of IoT technology enables web-based monitoring to statistically collect information related to measurements of electrical energy parameters, such as real time measurement of current (I), voltage (V) and power (P). This study aims to design a web-based real time monitoring system for electrical energy consumption inside a particular house. The sensing peripheral node was constructed using an ESP8266 controller chipset to steer a relay and a current sensor PZEM004T. The controller was programmed using the Arduino IDE application and exploiting the powerful performance of C language to build the codes. The web-based application interface was correspondingly created using the sublime text 3-text editor using the HTML;CSS programming languages as the frontend;and both PHP and MySQL software as the backend. Users could control the functional of the particular installed electronic devices using ON / OFF button directly through the designed website. Through this way, users may also observe the current and power values consumed by each operated devices. The cumulative power consumption profile for a certain time interval for each electronic appliances is also graphically visualized on the website menu. The practical testing results obtained the percentage of error current reading from the PZEM-004T sensor to the theoretical current value. From the data collection of an electric loads, the error percentage of the light bulb load is 0.5%, the rice cooker load is 0.7% and the dispenser load is 0.1%.

关键词： Smart Home IoT Network Green Technology graphical visualization Web-Server Application

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FacetMap: A scalable search and browse visualization

FacetMap: A scalable search and browse visualization

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IEEE visualization Conference (Vis 2006)/IEEE Symposium on Information visualization (InfoVis 2006)

作者： Smith, Greg Czerwinski, Mary Meyers, Brian Robbins, Daniel Robertson, George Tan, Desney S. Microsoft Research

关键词： graphical visualization interactive information retrieval faceted metadata

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Application of Geometric Modeling in Visualizing the Medical Image Dataset

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SN Computer Science 2020年第5期1卷 1-15页

作者： Van Nguyen, Sinh Tran, Ha Manh Le, Truong Son School of Computer Science and Engineering International University-Vietnam National University of HCMC Ho Chi Minh City Viet Nam Hong Bang International University Ho Chi Minh City Viet Nam

Geometric modeling is a research based on computational geometry for processing the 3D objects in computer graphics or image processing. Rendering the graphical objects in medical applications is an interesting research that can help doctors have an exact decision in their diagnostic method. Application of geometric modeling in visualization of medical data is considered as a tool to support treatment. In the field of big data analysis and data science, the methods, tools and techniques are essential and important to analyze a massive amount of information and make data-driven decisions. These data are first analyzed and computed depending on the criteria and purpose of users. They are then visualized or simulated using visual elements like charts, graphs or maps to explore, understand their characteristics and data structure. Which method or solution is best for rendering and visualizing the analyzed data? That is still a question and even a challenge to the researchers. In this article, we apply geometric modeling to build a web-based application for visualizing a medical image dataset. This is an improved version of the selected paper in the previous work[1]. We first review several researches in the fields of computer graphics, images processing, geometric modeling and their applications;then we combine all of them and propose a method to develop our application for reconstructing the medical data objects. The input data are a Dicom (Digital Imaging and Communications in Medicine) dataset captured from CT (computed tomography) scanner or MRI (Magnetic Resonance Imaging). The output are 2D and 3D models that can be displayed and handled in different ways on the web interface. In comparison with other existing applications, our method shown the advantages of its using in practice. © 2020, Springer Nature Singapore Pte Ltd.

关键词： 3D reconstruction Data rendering Geometric modeling graphical visualization Medical image processing

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