We present a new method to create spatial data using generative adversarial network (GAN). Our contribution uses coarse and widely available geospatial maps of less features at the finer scale in built environment, bypassing their traditional acquisition techniques (e.g. satellite imagery or land surveying). In work, we employ use road networks as input generate building footprints conduct expe...

Data modeling is defined as the process of discretizing spatial variation, but is often confused with issues of data structure, and driven by available software rather than by a concern for accurate representation. We review the alternative data models commonly available in spatial databases, and assess them from the perspective of accurate representation of geographical reality. Extensions are...

We present LOLA (LOw LAtency audio visual streaming system), a system for distributed performing arts interaction over advanced packet networks. It is intended to operate on high performance networking infrastructures, and is based on low latency audio/video acquisition hardware and on the integration and optimization of audio/video data acquisition, presentation and transmission. The extremely...

This paper discusses a new approach to controlling for the environment when estimating efficiency. In response to the literature on the international comparison of bank efficiency, we draw the attention to a local dimension of comparison. By introducing geographical weights and estimating local frontiers for each US savings bank for the 2001-09 period, we find that the bank technical performanc...

As discussed in Section 2.1, AT is further divided into two components, namely Probe Wait and Bcast Wait. We argue that it might be more appropriate to divide AT into four components: Index-Probe Wait (IPW), Index-Bcast Wait (IBW), Data-Probe Wait (DPW) and Data-Bcast Wait (DBW). IPW is the same as Probe Wait defined in (Imielinski, 1997), i.e., the time duration of getting to the nearest index...

Huge amounts of data have been stored in databases, data warehouses, geographic information systems, and other information repositories , and this data is still growing rapidly 4]. Companies are building data warehouses capable of storing hundreds of terabytes of data related to natural resource exploration; astronomical databases are measured in terabytes in size; and it is expected that the N...

Geographical data is inherently uncertain. There are a variety of sources that contribute to this uncertainty. Operations performed on data during an analysis will most likely only increase this uncertainty. To understand the uncertainty in the results of an analysis, requires information about the uncertainty in the input data, and some idea about how various analysis operations propagate and ...