Interactive visualization of Earth and space science computations

Hibbard, William L.; Paul, Brian E.; Santek, David; Dyer, Charles R.; Battaiola, A.L.; Voidrot-Martinez, M.-F.

doi:10.1109/2.299413

Cited by 53 publications

(19 citation statements)

References 9 publications

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“…Early visualization software, such as VisAD (Hibbard et al, 1994), has already been able to display 3D marine environmental data sets. Common 3D virtual globes such as Google Earth and World Wind support loading and displaying satellite-derived airsea CO 2 flux (Kang, 2012) and other related ocean remote sensing data (Chen et al, 2009;Turk et al, 2011).…”

Section: Related Workmentioning

confidence: 99%

Spatio-temporal visualization of air–sea CO2 flux and carbon budget using volume rendering

Fang

Bai

et al. 2015

Computers & Geosciences

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Section: Related Workmentioning

confidence: 99%

Spatio-temporal visualization of air–sea CO2 flux and carbon budget using volume rendering

Fang

Bai

et al. 2015

Computers & Geosciences

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“…Efforts of developing visualization tools to support the analysis of dynamic geographic phenomena started approximately a few decades ago (Hibbard et al 1994). Despite the developments of geovisualization tools such as virtual globes, displaying the dynamic phenomena represented by 3D/4D data remains a challenge due to the complexity and volume of the data.…”

Section: Visualizationmentioning

confidence: 99%

Contemporary Computing Technologies for Processing Big Spatiotemporal Data

Yang

Sun

et al. 2014

Space-Time Integration in Geography and GIScience

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“…This approach has been used for a variety of geologic and atmospheric science modeling and visualization applications (Hibbard et al 1994;Marschallinger 1996;Masumoto et al 2004). Of note is the Geographic Resources Analysis Support System (GRASS) GIS, originally developed by the U.S. Army Construction Engineering Research Laboratories, which supports three-dimensional raster encoding for which a limited set of map algebra functions are available (Brown et al 1997;Neteler 2004).…”

Section: Motivationmentioning

confidence: 99%

Cubic Map Algebra Functions for Spatio-Temporal Analysis

Mennis¹,

Viger²,

Tomlin³

2005

Cartography and Geographic Information Science

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ABSTRACT:We propose an extension of map algebra to three dimensions for spatio-temporal data handling. This approach yields a new class of map algebra functions that we call "cube functions." Whereas conventional map algebra functions operate on data layers representing two-dimensional space, cube functions operate on data cubes representing two-dimensional space over a third-dimensional period of time. We describe the prototype implementation of a spatio-temporal data structure and selected cube function versions of conventional local, focal, and zonal map algebra functions. The utility of cube functions is demonstrated through a case study analyzing the spatio-temporal variability of remotely sensed, southeastern U.S. vegetation character over various land covers and during different El Niño/Southern Oscillation (ENSO) phases. Like conventional map algebra, the application of cube functions may demand significant data preprocessing when integrating diverse data sets, and are subject to limitations related to data storage and algorithm performance. Solutions to these issues include extending data compression and computing strategies for calculations on very large data volumes to spatio-temporal data handling.

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Interactive visualization of Earth and space science computations

Cited by 53 publications

References 9 publications

Spatio-temporal visualization of air–sea CO2 flux and carbon budget using volume rendering

Spatio-temporal visualization of air–sea CO2 flux and carbon budget using volume rendering

Contemporary Computing Technologies for Processing Big Spatiotemporal Data

Cubic Map Algebra Functions for Spatio-Temporal Analysis

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