Titlebook: High Performance Computing for Geospatial Applications; Wenwu Tang,Shaowen Wang Book 2020 Springer Nature Switzerland AG 2020 High perform

Cleave

Parallel Landscape Visibility Analysis: A Case Study in Archaeologyolution terrain data, viewshed analysis offers a significant computational opportunity while also posing a challenge in GIS and landscape archaeology. Although a number of studies adopted high-performance and parallel computing (HPC) for handling the compute- and data-challenge of viewshed analysis,

Instrumental

和藹

Code Reusability and Transparency of Agent-Based Modeling: A Review from a Cyberinfrastructure Persp. For the sharing and communication of these models, code reusability and transparency play a pivotal role. In this chapter, we focus on code reusability and transparency of agent-based models from a cyberinfrastructure perspective. We identify challenges of code reusability and transparency in agen

CAMP

Integration of Web GIS with High-Performance Computing: A Container-Based Cloud Computing Approachtions have been widely used for the dissemination of spatial data and knowledge. However, the computationally intensive nature of these applications prevents the use of Web GIS to explore large spatial data when using traditional single-server paradigms—i.e., a big data challenge. Containers as a se

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Cartographic Mapping Driven by High-Performance Computing: A Reviewerstanding of geographic phenomena of interest. However, cartographic mapping, which are central in cartography and geovisualization, often faces a computational challenge when spatial data become massive or the algorithms that process these data are complicated. In this chapter, I conduct a review

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STEER

Camouflage

High-Performance Computing in Urban Modeling geography, planning, regional science, urban and regional economics, and environmental science, which intends to create scientific models to account for functions and processes that generate urban spatial structures at either intra-urban or inter-urban scales. It is due to these intrinsic propertie

性冷淡

Building a GPU-Enabled Analytical Workflow for Maritime Pattern Discovery Using Automatic Identificaon of ships from the automatic identification system (AIS). Scientists and practitioners have formulated methods to identify patterns and predict movements of ships. Nevertheless, it is a computational challenge to enable efficient and timely implementations of these methods on a massive trajectory

范圍廣

Domain Application of High Performance Computing in Earth Science: An Example of Dust Storm Modelinger is not sufficient. Further, earth science datasets produced by observations and models are increasingly larger and complex, exceeding the limits of most analysis and visualization tools, as well as the capacities of a single computer. HPC enabled modeling, analysis, and visualization solutions ar