REPRESENTATION OF SPATIAL AND TEMPORAL DATA IN ARCGIS Essay

Representation of spatial and temporal data in ArcGIS

Jonathan Goodall, David Maidment and Jennifer Sorenson*

SUMMARY: The manifestation of hydrologic phenomena within a Geographic Data System (GIS) requires the mixing of geospatial data eventually series. Rain fall, streamflow, chemical loading, and stage happen to be examples of hydrologic parameters that exhibit substantial spatial and temporal variability and, consequently , must be referred to with both spatial and temporary data. As the representation and visualization of geospatial hydrologic data in GIS is made practice, increasing GIS for the temporal website is a relatively new concept that introduces added complexities. For example , hydrologic guidelines can vary continuously over space and time (rainfall) or they can be noted regularly (streamflow) or irregularly (water quality) at preuve. In addition , hydrologic objects can have powerful shapes (floodplain inundation) or perhaps their presence can be time-indexed (addition or perhaps removal of flow control structures). Understanding how to signify these instances in a GIS, and how ArcGIS can be used to render dynamic visualizations of temporal events, needs a data version for the temporal and also spatial domain names. This exploration explains enhancements to the provisional, provisory component of the Arc Hydro Data Unit to better stand for the various period series cases possible with hydrologic details. The result is an occasion series data model comprising four parts: Time Series, Attribute Series, Feature Series, and Raster Series. Period series details the traditional, non-spatial use of period series, Characteristic Series details stationary features with dynamic attribute beliefs, Feature Series describes shifting features with dynamic feature values, and Raster Series describes a chapter of raster datasets through time. SEARCH TERMS: GIS, space time rendering, dynamic manifestation, ArcGIS Tracking Analyst

INTRODUCTION

To understand the dynamics of a hydrologic function, one must consider just how that function varies in space and time. Historically, hydrology offers focused on temporary data, named time series, such as stream flow and precipitation measurements. More recently, Geographic Information Systems (GIS) include allowed hydrologists to incorporate geospatially referenced info sets to their modeling, but at the expenditure of shedding temporal complexities (Peuquet, 2001). These two planets, hydrology and GIS, stay disconnected simply because hydrology was developed about time and GIS around space. To completely integrate GIS and hydrology, therefore , takes a framework intended for representing both spatial and temporal info in GIS.

One framework is definitely the Arc Hydro Data Model (Maidment, 2002a). Arc Hydro is a formula for constructing a space database that contains both geospatial and temporal hydrologic details. The data style was largely a conceptual project and has only recently been put on real-world complications. As is often the case, application of the info model offers highlighted a lot of areas to get improvement. These kinds of areas especially deal with the representation of temporally sophisticated hydrologic phenomena, such as features that push or transform shape with time or the ones that vary continuously over space through period. To address these limitations, the Arc Hydro time series component is being extended to better accommodate complicated temporal characteristics.

This kind of paper details enhancements towards the time series component of the Arc Hydro Data Version to better be the cause of the safe-keeping and visual images of temporally complex hydrology data. Although the original period series part consisted of just one type of time series, today called Feature Series, the enhanced component includes three additional types: Feature Series, Raster Series, and Time Series. Primary of this conventional paper is the conceptual design of the enhanced time series component. Sorenson et al. (2004) gives an...

References: Blongewicz, Meters., 2000. DHI's Water Building and GIS. GIS in Water Methods Conference, Austin, TX.

Maidment, G. R. (ed. ), 2002a. " Arc Hydro: GIS for Water Resources”. ESRI Press, Redlands, CA.

Maidment, D. 3rd there�s r., 2002b. Arc Hydro: GIS for Normal water Resources. University of Florida, Department of Environmental Executive Sciences Analysis Colloquium, http://www.ees.ufl.edu/programs/archive.asp.

Maidment, M. R., Fogg, A., Sorenson, J., Goodall, J. M., Strassberg, G., Martinez, H., Hampson, L., Aurit, M., Mercado, Ur., and Brink, T., the year 2003, Enhanced Arc Hydro Construction for the South Sarasota Water Supervision District., Survey presented towards the south Florida Normal water Management Section.

Peuquet, G. J., 2001. Making Space for Time: Issues in Space-Time Info Representation. Geoinformatica 5(1): 11-32.

Sorenson, J., Maidment, Deb. R., and Goodall, L. L., 2004, Arc Hydro Time Series Framework for Defining Hydroperiod Inundation, Proceeding in the AWRA GIS in Normal water Resources III Conference, Nashville, TN.

Making use of the ArcGISTM Traffic monitoring Analyst, 2002. ESRI Press, Redlands, CA.



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