Through analyzing our data, we hope to gain insight into which techniques merit further exploration and offer promise for visualization of data sets with ever- ...

Jan 24, 2011 · Through analyzing our data, we hope to gain insight into which techniques merit further exploration and offer promise for visualization of data ...

Oct 22, 2024 · Our preliminary experiments demonstrate that MIGIS is a cost effective architecture which achieves high performance spatial query execution.

As part of our efforts to evaluate the applicability of such visualizations, we implemented five techniques which represent a broad range of existing research ( ...

This work implemented five techniques which represent a broad range of existing research and conducted a user study wherein subjects were presented with ...

Mark A. Livingston, Jonathan W. Decker, Zhuming Ai: An evaluation of methods for encoding multiple 2D spatial data. Visualization and Data Analysis 2011: ...

Ai, An evaluation of methods for encoding multiple 2D spatial data, Visualization and Data Analysis 2011, pp.78-680, 2011. DOI : 10.1117/12.872576. H ...

Dec 11, 2024 · Spatial representation learning (SRL) aims at learning general-purpose neural network representations from various types of spatial data (e.g., ...

In this research, we aim to address two important dimensions of data physicalisation research: encoding variables and evaluation. Why encoding variables and ...

We investigate a framework for LULC mapping based on 2D encoded multivariate SITS data to enhance their classification performances.