|
|
|
|
|
Sean N. Gordon, Philip J. Murphy, John A. Gallo, Patrick Huber, Allan Hollander, Ann Edwards and Piotr Jankowski
As the need for more broad-scale solutions to environmental problems is increasingly recognized, traditional hierarchical, government-led models of coordination are being supplemented by or transformed into more collaborative inter-organizational network...
ver más
|
|
|
|
|
|
|
|
|
Daisuke Murakami, Mami Kajita and Seiji Kajita
A rapid growth in spatial open datasets has led to a huge demand for regression approaches accommodating spatial and non-spatial effects in big data. Regression model selection is particularly important to stably estimate flexible regression models. Howe...
ver más
|
|
|
|
|
|
|
|
|
Dongming Guo and Erling Onstein
Geospatial information has been indispensable for many application fields, including traffic planning, urban planning, and energy management. Geospatial data are mainly stored in relational databases that have been developed over several decades, and mos...
ver más
|
|
|
|
|
|
|
|
|
Taylor Anderson and Suzana Dragicevic
Many real-world spatial systems can be conceptualized as networks. In these conceptualizations, nodes and links represent system components and their interactions, respectively. Traditional network analysis applies graph theory measures to static network...
ver más
|
|
|
|
|
|
|
|
|
Dongge Liu, Tao Wang, Xiaojuan Li, Yeqing Ni, Yanping Li and Zhao Jin
Vector data compression can significantly improve efficiency of geospatial data management, visualization and data transmission over internet. Existing compression methods are either based on information theory for lossless compression mainly or based on...
ver más
|
|
|
|