Technology and geographical imaginations: representing aviation in 1930s Italy

Representing Uncertainty in Geographical Data

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 ...

Representing Temporal, Geographical, and Ecological Diversity

serovar isolated from a canal in Louisiana in 1978 revealed it to be identical to that of V. cholerae 01 isolated in 1905 from a pilgrim at the El Tor quarantine station. The two strains are associated with sharply contrasting habitats. Ranges of variation of 5 to 15% in procaryotic 5S rRNA sequences between species are typical; variation within species may be 2% or greater. Because the 5S rRNA...

Representing Continuous Geographical Phenomena with FieldGML

Considering Object Oriented Technology in Aviation Applications

Few developers of commercial aviation software products are using object-oriented technology (OOT), despite its popularity in some other industries. Safety concerns about using OOT in critical applications, uncertainty about how to comply with regulatory requirements, and basic conservatism within the aviation community have been factors behind this caution. The Federal Aviation Administration ...

Comparing Vocabularies for Representing Geographical Features and Their Geometry

The need for geolocation is crucial for many applications for both human and software agents. More and more data is opened and interlinked using Linked Data principles, and it is worth modeling geographic data efficiently by reusing as much as possible from existing ontologies or vocabularies that describe both the geospatial features and their shapes. In this paper, we survey different modelin...