Dr. Faramarz F. Samavati
Professor, Department of Computer Science, University of Calgary, 2500 University Drive N.W., Calgary, AB T2N 1N4, Canada
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Academic Career Length
21Years (2006-Present)
(Calculated once Scilit publication data is synced: current year − year of first publication + 1)
Representative Publications
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Journal Article
AAAli Mahdavi Amiri
Ali Mahdavi Amiri
Faramarz F. SamavatiPPPerry Peterson
Perry PetersonDigital Earth frameworks provide a tool to receive, send and interact with large location-based datasets, organized usually according to Discrete Global Grid Systems (DGGS). In DGGS, an indexing method is used to assign a unique index to each cell of a global grid, and the datasets corresponding to these cells are retrieved or allocated using this unique index. There exist many methods to index cells of DGGS. Toward facility, interoperability and also defining a “standard” for DGGS, a conversion is needed to translate a dataset from one DGGS to another. In this paper, we first propose a categorization of indexing methods of DGGS and then define a general conversion method from one indexing to another. Several examples are presented to describe the method.
20 November 2019
Book Chapter
TATroy Alderson
Troy AldersonMPMatthew Purss
Matthew PurssXDXiaoping Du
Xiaoping Du
Ali Mahdavi AmiriFaramarz F. SamavatiIn this chapter, we provide a thorough discussion on Digital Earth with particular focus on Discrete Global Grid Systems (DGGS), which are a standardized representation of the Earth. We describe the necessary components of a DGGS, such as the underlying 2D representation, indexing system, projection, and cell types. We also discuss a selection of well-known public and commercial DGGSs followed by current DGGS standards.
21 June 2007 in The Visual Computer
Journal Article
RPRichard Pusch
Richard PuschFaramarz F. SamavatiANAhmad Nasri
Ahmad NasriBWBrian Wyvill
Brian Wyvill1 March 2019 in Cartographica
Journal Article
AAAli Mahdavi Amiri
Ali Mahdavi Amiri
TATroy Alderson
Troy AldersonFaramarz F. SamavatiDigital Earth frameworks deal with data sets of different types collected from various sources. To effectively store, retrieve, and transmit these data sets, efficient multi-scale data representations that are compatible with the underlying structure of the Digital Earth framework are required. In this article, we describe several such techniques and their properties: namely, how to represent data in the multi-scale cell hierarchy of a discrete global grid system (DGGS) or in the multi-scale hierarchy of a customized wavelet transform. We also discuss how these techniques can be tuned to be applicable to the A3H DGGS.
Journal Article
JHJohn Stein Hall
John Stein HallLWLakin Wecker
Lakin WeckerBUBenjamin Ulmer
Benjamin UlmerFaramarz F. SamavatiThe amount of information collected about the Earth has become extremely large. With this information comes the demand for integration, processing, visualization and distribution of this data so that it can be leveraged to solve real-world problems. To address this issue, a carefully designed information structure is needed that stores all of the information about the Earth in a convenient format such that it can be easily used to solve a wide variety of problems. The idea which we explore is to create a Discrete Global Grid System (DGGS) using a Disdyakis Triacontahedron (DT) as the initial polyhedron. We have adapted a simple, closed-form, equal-area projection to reduce distortion and speed up queries. We have derived an efficient, closed-form inverse for this projection that can be used in important DGGS queries. The resulting construction is indexed using an atlas of connectivity maps. Using some simple modular arithmetic, we can then address point to cell, neighbourhood and hierarchical queries on the grid, allowing for these queries to be performed in constant time. We have evaluated the angular distortion created by our DGGS by comparing it to a traditional icosahedron DGGS using a similar projection. We demonstrate that our grid reduces angular distortion while allowing for real-time rendering of data across the globe.
21 May 2019 in Computers & Graphics
Journal Article
TDTimothy Davison
Timothy DavisonFaramarz F. SamavatiCJChristian Jacob
Christian JacobAbout Me
Prof. Faramarz F. Samavati is a Full Professor of Computer Science at the University of Calgary. He earned his PhD in Mathematics (Computer Graphics) from Sharif University of Technology in 1999 and was a Visiting PhD Scholar in Computer Science (Computer Graphics) at the University of Waterloo, Canada. His research spans computer graphics, geoinformatics, visualization, and scientific computation. With more than 160 peer-reviewed publications and patents, and a vibrant research group, his work continues to shape the fields of computer graphics and geoinformatics. He has supervised 16 PhD students, 4 postdoctoral fellows, and 52 MSc (thesis-based) students. Dr. Samavati received the Great Supervisor Award from the University of Calgary and has been nominated for the Killam Graduate Supervision Award. In addition to his scholarly contributions, he has made significant strides in bridging theory and practice, driving technological innovation. His work on surface modeling software earned the 2013 Digital Alberta Award for Best in Cross-platform Content. He has also received numerous honors, including the Peak Scholar Award, the Established Career Scholarship Excellence Award, multiple Best Paper Awards, and the ACM Recognition of Service Award. He leads the Graphics, Interaction, and Visualization (GIV) research lab, where he mentors a dynamic team of researchers and students.