Journal Guide

Computers, Environment and Urban Systems is an interdisciplinary journal publishing cutting-edge and innovative computer-based research on urban systems and built and natural environments, that privileges the geospatial perspective. The journal provides a stimulating presentation of perspectives, research developments, overviews of important new technologies and uses of major computational, information-based, and visualization innovations. Applied and theoretical contributions demonstrate the scope of computer-based analysis fostering a better understanding of urban systems, the synergistic relationships between built and natural environments, their spatial scope and their dynamics.Application areas include infrastructure and facilities management, physical planning and urban design, land use and transportation, business and service planning, coupled human and natural systems, urban planning, socio-economic development, emergency response and hazards, and land and resource management. Examples of methodological approaches include decision support systems, geocomputation, spatial statistical analysis, complex systems and artificial intelligence, visual analytics and geovisualization, ubiquitous computing, and space-time simulation.Contributions emphasizing the development and enhancement of computer-based technologies for the analysis and modeling, policy formulation, planning, and management of environmental and urban systems that enhance sustainable futures are especially sought. The journal also encourages research on the modalities through which information and other computer-based technologies mold environmental and urban systems.Audience:Urban and regional planners and policy analysts, environmental planners, economic geographers, geospatial information scientists and technologists, regional scientists and policy makers, architectural designers.

Computing publishes original papers, short communications and surveys on all fields of computing. The contributions should be written in English and may be of theoretical or applied nature, the essential criteria are computational relevance and systematic foundation of results.
Subjects include
- autonomic, adaptive, dependable computing
- parallel computing
- services computing and cloud computing
- green computing
- internet computing
- business process computing
- software evolution and mining
- architectural concepts for systems
- network science, social networks, collective intelligence

Devoted to computational sciences - a field of a major and continually growing importance for both research and applications, this journal provides the ideal platform for scientists eager to cooperate in solving scientific and technological challenges. The aim is to link professionals from the diverse fields of mathematics computer science physics chemistry environmental sciences biosciences engineering. The rapid development of computer technology has opened up new perspectives, increased the importance of mathematical models and created an urgent need for efficient algorithms. Reflecting these trends, the journal has set itself the goal of publishing pioneering methods and applications which precipitate the solution of complex problems - or even make such solutions possible at all. Since visualization has become an important scientific tool, especially in the analysis of complex situations, it is treated in close connection with the other areas covered by the journal. These areas include: - mathematical modeling and analysis of model systems - numerical methods and algorithms - development of simulation software - optimization and control - parallel computing - visualization and image analysis - computational physics and chemistry - structural mechanics - fluid dynamics - environmental sciences - computation in biosciences and medicine - modeling and computation in engineering As well as publishing this exciting material in print form, Computing and Visualization in Science will also make the documents available to subscribers electonically via a server.

The computational and data-centric problems faced by scientists and engineers transcend disciplines. There is a need to share knowledge of algorithms, software, and architectures, and to transmit lessons-learned to a broad scientific audience. Computing in Science & Engineering (CiSE) is a cross-disciplinary, international publication that meets this need by presenting contributions of high interest and educational value from a variety of fields, including—but not limited to—physics, biology, chemistry, and astronomy. CiSE emphasizes innovative applications in advanced computing, simulation, and analytics, among other cutting-edge techniques. CiSE publishes peer-reviewed research articles, and also runs departments spanning news and analyses, topical reviews, tutorials, case studies, and more.