Representation of spatial and temporal data

First, the domain of w3cgeo: Point is defined as a sub-class of w3cgeo: As a result, we have inconsistency in how w3cgeo: SpatialThing may be interpreted.

Representation of spatial and temporal data

Abstract Kenya is faced with a rising demand in electricity resulting from a rapidly growing economy and an increasing population.

Representation of spatial and temporal data

Being a tropical country, lying astride the equator, solar energy is one of the readily available renewable energy resource options to meet this need. Unfortunately, there is still very low adoption of solar systems in the country which could be majorly attributed to lack of adequate solar resource assessment.

Besides, past studies on this area in Kenya only focused on the available amount of solar resource leaving out the issue of variability. To bridge this gap, the temporal and spatial variability of global horizontal irradiance GHI and direct normal Irradiance DNI is analyzed using year long — Meteosat satellite dataset.

GHI interannual variability is low in most parts of the country but DNI has a clearly higher variability except a few locations in the East and Northern desert.

The results offer readers a quick reference of variability of solar resource at different locations in Kenya which is useful in guiding measurement requirements and consequently in promoting deployment of solar systems.

Previous article in issue.Interannual and spatial variability of solar radiation energy potential in Kenya using Meteosat satellite. The representation of spatial data, especially the representation of spatiotemporal data, is the foundation for many spatial analysis routines.

However, it is largely ignored in cyberinfrastructure research. Our goal in spatiotemporal segmentation is to identify the spatial and temporal coherences in video data and derive the layered representation for the image sequence. We describe a general framework for segmentation that identifies the spatiotemporal coherences of video data.

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Methodology. In order to find out the requirements for the deliverables of the Working Group, use cases were collected.

For the purpose of the Working Group, a use case is a story that describes challenges with respect to spatial data on the Web for existing or envisaged information systems. What is WorldPop? High spatial resolution, contemporary data on human population distributions are a prerequisite for the accurate measurement of the impacts of population growth, for monitoring changes and for planning interventions.

Spatial data management is often combined with temporal data management, because in many cases one needs to record the temporal evolution of spatially-related entities.

Representation of spatial and temporal data

The resulting data models are thus termed spatio-temporal data models.

Worldpop - What is WorldPop?