A Data Warehouse is a centralized repository of data acquired from external data sources and organized following a multidimensional model (Inmon, 1996) in order to be analyzed by On-Line Analytical Processing (OLAP) applications. OLAP tools provide the ability to interactively explore multidimensional data presenting detailed and aggregated data. The results of analyses are the basis of strateg...

Black carbon aerosols and the third polar ice cap S. Menon, D. Koch, G. Beig, S. Sahu, J. Fasullo, and D. Orlikowski Lawrence Berkeley National Laboratory, Berkeley, CA, USA Columbia University/NASA GISS, New York, NY, USA Indian Institute for Tropical Meteorology, Pune, India Climate Analysis Section, CGD/NCAR, Boulder, CO, USA Lawrence Livermore National Laboratory, Livermore, CA, USA Receive...

The processing of multi-dimensional range queries involving spatial relations arises in many application areas including Spatial Databases and GISs. In this paper we show how a variety of threeor four-dimensional queries that correspond to different relations can be processed using spatial data structures. We provide analytical formulas that describe the expected cost of retrieval and test the ...

In this paper we present a new multimodal locomotion user interface that enables users to travel through 3D environments displayed in geospatial information systems (GISs), e.g., Google Earth or Microsoft Virtual Earth. When using the proposed interface the geospatial data can be explored immersively using stereoscopic visualization on a head-mounted display (HMD). When using certain tracking a...

The construction of inter-visibility models for a terrain is an important tool for environmental and animal studies. E-cient crisp algorithms are known to address this problem directly on a raster digital elevation map (DEM) of the study area. Randomness plays an important role: several factors like vegetation, height of the observer, presence of unmapped human artifacts, etc. cannot be modeled...

17 The impact of future land use and land cover changes (LULCC) on regional and global 18 climate is one of the most challenging aspects of understanding anthropogenic climate change. 19 We study the impacts of LULCC on regional climate in the southeastern U.S. by 20 downscaling the NASA Goddard Institute for Space Studies (GISS) global climate model E to 21 the regional scale using a spectral ...

Spatial reasoning is very important for cartography and GISs. Most known methods translate a spatial problem to an analytical formulation to solve quantitatively. This paper shows a method for formal, qualitative reasoning about cardinal directions. The problem addressed is how to deduce the direction from A to C, given the direction from A to B and B to C. It first analyzes the properties form...

The way people conceptualize space is an important consideration for the design of geographic information systems, because a better match with peopleÕs thinking is expected to lead to easier-touse information systems. Everyday space, the basis to geographic information systems (GISs), has been characterized in the literature as being either small-scale (from table-top to room-size spaces) or la...

Currently, little is known on how volcanic eruptions impact large-scale climate phenomena such as South American paleo-Intertropical Convergence Zone (ITCZ) position and summer monsoon behavior. In this paper, an analysis of observations and model simulations is employed to assess the influence of large volcanic eruptions on the climate of tropical South America. This problem is first considere...

An ecient index structure for complex spatial objects is one of the most challenging requirements in non-traditional applications such as geographic information systems (GISs), computer-aided design (CAD), and multimedia databases. In this paper we ®rst propose an extension of an existing index structure called the two-step index structure (TSIS). The TSIS integrates two index structures, one ...