Examples of using Spatial data in English and their translations into Malay
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Colloquial
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Ecclesiastic
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Computer
With spatial data?
Management and publication of spatial data.
Transforming spatial data Online!
You now need an inventory of that spatial data.
The National Spatial Data Infrastructure( NSDI) MaCGDI.
Do you work with spatial data?
Collection of spatial data related to natural disaster.
What is meant by spatial data?
The spatial data within the application are displayed in accord with the ministry six(6) core areas, i.e. Land, Mineral, Water, Biodiversity, Forestry and the Environment.
Working with spatial data.
The spatial queries are a combination of spatial and non spatial data.
The National Spatial Data Infrastructure NSDI.
These three types involve both spatial and nonspatial data.
Globally, the rate of spatial data capture has never been greater.
This tool is commonly used to locate places, locate points, extract coordinates,enter spatial data to perform some kind of….
Revit models include spatial data and related non-spatial information.
It is a distributed system of servers located on the Internet whichcontain field-level descriptions of available digital spatial data and services.
The IX Iberian Conference on Spatial Data Infrastructures.
This application contains Spatial Database based on Geographic Information System(GIS) which collects data sources from various departments/ agencies in the State of Johor.
Key to delivering INSPIRE is the establishment of Spatial Data Infrastructures(SDIs).
MyGDI, as the National Spatial Data Infrastructure(NSDI) for Malaysia, is a geospatial data infrastructure that comprises of policies, standards, technology research and development and skilled human resources.
In its most recent publication, the 28 volume-for the month of March and April, 2019-, Mapping magazine, has set as its central theme,everything related to the IX Iberian Conference on Spatial Data Infrastructures.
The Johns Hopkins Online Certificate in GeographicInformation Systems offers you a scientific foundation in spatial data modeling, analysis, and visualization.
¢ Regional modelapplication and uncertainties assessment by identifying the best spatial data resolution, model calibration and uncertainty assessment.
Burrough in 1986 defined GIS as,“Set of tools for collecting, storing, retrieving at will,transforming and displaying spatial data from the real world for a particular set of purposes”.
Her research centers on understanding racial inequality and poverty in the United States,but also includes innovations related to spatial data analysis and the incorporation of demographic processes like migration with the study of inequality.
Analyze the temporal and spatial efficiency of algorithms and data structures and redesign them for increased efficiency where possible.
Whilst the data availability and spatial resolution of MBES systems are advancing, the computing power to analyse large multivariate physical and ecological survey datasets is also increasingly available.