科学データ可視化に関する方程式を変更する
1Tetherless World Constellation, Rensselaer Polytechnic Institute, Troy, NY 12180, USA.
Science (New York, N.Y.)
|February 12, 2011
まとめ
科学者は,研究のためにより良いデータ可視化ツールを必要としています. 新興のデータベースとウェブ技術は,ビジュアライゼーションをよりアクセスしやすくし,科学プロセスに統合し,データ探査を改善することができます.
科学分野:
- データサイエンス データサイエンス
- 科学コンピューティング 科学コンピューティング
- 情報 ビジュアライゼーション 情報の可視化
背景:
- 科学的なデータの増加量,またはデータの洪水は,データの解釈のための効果的な方法を必要とします.
- 現在の科学的慣行では,データビジュアライゼーションを繰り返し行う研究ツールとして扱うのではなく,最終的な出力として扱うことが多い.
研究 の 目的:
- 新興技術が科学研究ライフサイクルにデータビジュアライゼーションの統合をどのように促進できるかを探求する.
- 科学的データ分析における現在の可視化慣行の限界に対処する.
主な方法:
- 科学データ可視化における現在の課題のレビュー.
- 視覚化のための新しいデータベース技術の可能性を分析する.
- 費用対効果の高い可視化生成のための新興のウェブベースの技術の評価.
主要な成果:
- データビジュアライゼーションは,科学的調査の不可欠な部分ではなく,しばしばエンドポイントです.
- 新しいデータベースとウェブ技術は,ビジュアライゼーションコストを削減するための潜在的なソリューションを提供します.
- これらの進歩は,研究プロセス全体でビジュアライゼーションのより広範な使用を可能にします.
結論:
- 科学的なライフサイクル全体にビジュアライゼーションツールを統合することは,データの解釈に不可欠です.
- 新興技術は,科学的なビジュアライゼーションを作成し,使用するためのエントリーバリアを下げることができます.
- 費用対効果の高い視覚化の生成は,科学的発見と理解を高めることができます.
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