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Journal articles on the topic 'Geovisto'

Author: Grafiati

Published: 28 June 2021

Last updated: 1 February 2022

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1

Delgado Estrada, Juan Manuel, Carlos Bryan Becerra Blaz, Mario Rafael Olivas Villanera, and Víctor Alexis Bartolomé Liendo Huasco. "Actuando desde la distancia: GeoVisor una app de lugares seguros y no solamente una app contra la COVID-19." Espiral, revista de geografías y ciencias sociales 2, no. 4 (January 29, 2021): 185–93. http://dx.doi.org/10.15381/espiral.v2i4.19537.

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Este trabajo pretende dar a conocer la propuesta del Aplicativo GeoVisor, situándonos en el contexto de pandemia y las Neogeo - grafías del común practicadas por la población de Jequetepeque. GeoVisor tiene como propósito ser una app contra la COVID – 19 y para la geolocalización de lugares seguros, pero actuando desde la distancia y tomando en cuenta el carácter etnográfico de la población. Un proyecto colaborativo de profesionales en la geotecnologias frente al escenario mundial de la COVID 19 y dentro del contexto peruano, teniendo como área de estudio el Distrito de Jequetepeque en el departamento de la Libertad.

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2

Paixão, Marcio José Serra, and Flavio Leal Maranhão. "GEOVISTA – GESTÃO DESCENTRALIZADA DAS CONDIÇÕES DO PAVIMENTO EM AMBIENTE URBANO." Brazilian Journal of Development 6, no. 7 (2020): 53235–44. http://dx.doi.org/10.34117/bjdv6n7-825.

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3

Erazo Navia, Derly. "Webmapping usado para la gestión del recurso hídrico en la cuenca hidrográfica del río Dagua, Valle del Cauca, Colombia." Entorno Geográfico, no. 18 (October 18, 2019): 22–45. http://dx.doi.org/10.25100/eg.v0i18.8605.

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El presente artículo hace referencia a la aplicación de tecnología web mappig en la construcción de un geovisor para la gestión del territorio y el recurso hídrico, el cual tiene como fin compartir datos geográficos asociados a la cuenca hidrográfica del río Dagua, localizada en el Valle del Cauca, Colombia. La metodología empleada consistió en procesar y transformar datos geográficos de la cuenca hidrográfica, el uso de formatos de representación geográfica de código abierto y aplicación de la herramienta tecnológica librería para mapeo digital leaflet de javascript. Como resultado se obtuvo la creación de un geovisor web de libre acceso, el cual permite visualizar mapas de información de la cuenca por temas, permitiendo la superposición de capas, la selección de capas de información y la visualización de mapas geográficos. El artículo se centra en la importancia que ha adquirido el uso de las nuevas tecnologías de la información y la comunicación, la aplicabilidad de estas en la generación de información geográfica asociada a la cuenca hidrográfica, la identificación de variables y situaciones que afectan la cuenca hidrográfica como unidad de planificación territorial y la aplicabilidad de la tecnología web mapping en la transformación de datos geográficos para llevarlos a la visualización de mapas mediante el uso de internet. Finalmente describe las características del geovisor desarrollado.

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4

Takatsuka, Masahiro, and Mark Gahegan. "GeoVISTA Studio: a codeless visual programming environment for geoscientific data analysis and visualization." Computers & Geosciences 28, no. 10 (December 2002): 1131–44. http://dx.doi.org/10.1016/s0098-3004(02)00031-6.

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5

Kim, Chang-Min, and Dae-Soo Cho. "Design and Implementation of GeoVideo Making Tool and Viewer Software." Journal of the Korea Institute of Information and Communication Engineering 18, no. 5 (May 31, 2014): 1135–42. http://dx.doi.org/10.6109/jkiice.2014.18.5.1135.

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6

Wu, C., Q. Zhu, Y. T. Zhang, Z. Q. Du, Y. Zhou, X. Xie, and F. He. "AN ADAPTIVE ORGANIZATION METHOD OF GEOVIDEO DATA FOR SPATIO-TEMPORAL ASSOCIATION ANALYSIS." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences II-4/W2 (July 10, 2015): 29–34. http://dx.doi.org/10.5194/isprsannals-ii-4-w2-29-2015.

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Public security incidents have been increasingly challenging to address with their new features, including large-scale mobility, multi-stage dynamic evolution, spatio-temporal concurrency and uncertainty in the complex urban environment, which require spatio-temporal association analysis among multiple regional video data for global cognition. However, the existing video data organizational methods that view video as a property of the spatial object or position in space dissever the spatio-temporal relationship of scattered video shots captured from multiple video channels, limit the query functions on interactive retrieval between a camera and its video clips and hinder the comprehensive management of event-related scattered video shots. GeoVideo, which maps video frames onto a geographic space, is a new approach to represent the geographic world, promote security monitoring in a spatial perspective and provide a highly feasible solution to this problem. This paper analyzes the large-scale personnel mobility in public safety events and proposes a multi-level, event-related organization method with massive GeoVideo data by spatio-temporal trajectory. This paper designs a unified object identify(ID) structure to implicitly store the spatio-temporal relationship of scattered video clips and support the distributed storage management of massive cases. Finally, the validity and feasibility of this method are demonstrated through suspect tracking experiments.

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7

Wu, Chen, Qing Zhu, Yeting Zhang, Xiao Xie, Han Qin, Yan Zhou, Pengcheng Zhang, and Weijun Yang. "Movement-Oriented Objectified Organization and Retrieval Approach for Heterogeneous GeoVideo Data." ISPRS International Journal of Geo-Information 7, no. 7 (June 28, 2018): 255. http://dx.doi.org/10.3390/ijgi7070255.

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8

Müller, Thomas. "GeoViS—Relativistic ray tracing in four-dimensional spacetimes." Computer Physics Communications 185, no. 8 (August 2014): 2301–8. http://dx.doi.org/10.1016/j.cpc.2014.04.013.

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9

Tuia, Devis, Jan Dirk Wegner, Clement Mallet, and Michael Ying Yang. "Foreword to the Special Issue on “GeoVision: Computer Vision for Geospatial Applications”." IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 9, no. 7 (July 2016): 2840–43. http://dx.doi.org/10.1109/jstars.2016.2586158.

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10

Roth, Robert. "How do user-centered design studies contribute to cartography?" Geografie 124, no. 2 (2019): 133–61. http://dx.doi.org/10.37040/geografie2019124020133.

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I ask in this essay: How do user-centered design studies contribute to cartography? Scholars in related fields increasingly recognize the intellectual value of employing user-centered processes to improve a single product and identify new design considerations for future products. To this end, I propose an analytical framework for organizing the contributions of user-centered design studies that includes eight opportunities for advancing cartography: (1) domain gap analyses, (2) adapted or novel user-centered methods, (3) streamlined user-centered design processes, (4) transferable design insights, (5) comprehensive user-centered design case studies, (6) novel or unique maps and visualizations, (7) summative controlled experiments, and (8) new insights into pressing geographic problems. I apply this framework against my own collaborative work in a retrospective analysis of three UCD case studies: the GeoVISTA CrimeViz visual analytics tool, the NOAA Lake Level Viewer climate change visualization, and the UW Cart Lab Global Madison mobile map.

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11

Gahegan, Mark, Masahiro Takatsuka, Mike Wheeler, and Frank Hardisty. "Introducing GeoVISTA Studio: an integrated suite of visualization and computational methods for exploration and knowledge construction in geography." Computers, Environment and Urban Systems 26, no. 4 (July 2002): 267–92. http://dx.doi.org/10.1016/s0198-9715(01)00046-1.

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12

Çöltekin, A., I. Lokka, and M. Zahner. "ON THE USABILITY AND USEFULNESS OF 3D (GEO)VISUALIZATIONS – A FOCUS ON VIRTUAL REALITY ENVIRONMENTS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B2 (June 8, 2016): 387–92. http://dx.doi.org/10.5194/isprs-archives-xli-b2-387-2016.

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Whether and when should we show data in 3D is an on-going debate in communities conducting visualization research. A strong opposition exists in the information visualization (Infovis) community, and seemingly unnecessary/unwarranted use of 3D, e.g., in plots, bar or pie charts, is heavily criticized. The scientific visualization (Scivis) community, on the other hand, is more supportive of the use of 3D as it allows ‘seeing’ invisible phenomena, or designing and printing things that are used in e.g., surgeries, educational settings etc. Geographic visualization (Geovis) stands between the Infovis and Scivis communities. In geographic information science, most visuo-spatial analyses have been sufficiently conducted in 2D or 2.5D, including analyses related to terrain and much of the urban phenomena. On the other hand, there has always been a strong interest in 3D, with similar motivations as in Scivis community. Among many types of 3D visualizations, a popular one that is exploited both for visual analysis and visualization is the highly realistic (geo)virtual environments. Such environments may be engaging and memorable for the viewers because they offer highly immersive experiences. However, it is not yet well-established if we should opt to show the data in 3D; and if yes, a) what type of 3D we should use, b) for what task types, and c) for whom. In this paper, we identify some of the central arguments <i>for</i> and <i>against</i> the use of 3D visualizations around these three considerations in a concise interdisciplinary literature review.

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13

Çöltekin, A., I. Lokka, and M. Zahner. "ON THE USABILITY AND USEFULNESS OF 3D (GEO)VISUALIZATIONS – A FOCUS ON VIRTUAL REALITY ENVIRONMENTS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B2 (June 8, 2016): 387–92. http://dx.doi.org/10.5194/isprsarchives-xli-b2-387-2016.

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Abstract:

Whether and when should we show data in 3D is an on-going debate in communities conducting visualization research. A strong opposition exists in the information visualization (Infovis) community, and seemingly unnecessary/unwarranted use of 3D, e.g., in plots, bar or pie charts, is heavily criticized. The scientific visualization (Scivis) community, on the other hand, is more supportive of the use of 3D as it allows ‘seeing’ invisible phenomena, or designing and printing things that are used in e.g., surgeries, educational settings etc. Geographic visualization (Geovis) stands between the Infovis and Scivis communities. In geographic information science, most visuo-spatial analyses have been sufficiently conducted in 2D or 2.5D, including analyses related to terrain and much of the urban phenomena. On the other hand, there has always been a strong interest in 3D, with similar motivations as in Scivis community. Among many types of 3D visualizations, a popular one that is exploited both for visual analysis and visualization is the highly realistic (geo)virtual environments. Such environments may be engaging and memorable for the viewers because they offer highly immersive experiences. However, it is not yet well-established if we should opt to show the data in 3D; and if yes, a) what type of 3D we should use, b) for what task types, and c) for whom. In this paper, we identify some of the central arguments <i>for</i> and <i>against</i> the use of 3D visualizations around these three considerations in a concise interdisciplinary literature review.

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14

Hamm, Susan G., Arlene Anderson, Douglas Blankenship, Lauren W. Boyd, Elizabeth A. Brown, Zachary Frone, Ian Hamos, et al. "Geothermal Energy R&D: An Overview of the U.S. Department of Energy’s Geothermal Technologies Office." Journal of Energy Resources Technology 143, no. 10 (February 3, 2021). http://dx.doi.org/10.1115/1.4049581.

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Abstract Geothermal energy can provide answers to many of America’s essential energy questions. The United States has tremendous geothermal resources, as illustrated by the results of the DOE GeoVision analysis, but technical and non-technical barriers have historically stood in the way of widespread deployment of geothermal energy. The U.S. Department of Energy’s Geothermal Technologies Office within the Office of Energy Efficiency and Renewable Energy has invested more than $470 million in research and development (R&D) since 2015 to meet its three strategic goals: (1) unlock the potential of enhanced geothermal systems, (2) advance technologies to increase geothermal energy on the U.S. electricity grid, and (3) support R&D to expand geothermal energy opportunities throughout the United States. This paper describes many of those R&D initiatives and outlines future directions in geothermal research.

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15

"Cloud-Based Architectures for Auto-Scalable Web Geoportals towards the Cloudification of the GeoVITe Swiss Academic Geoportal." ISPRS International Journal of Geo-Information 6, no. 7 (June 25, 2017): 192. http://dx.doi.org/10.3390/ijgi6070192.

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