Spatial data base queries: Relational algebra versus computational geometry

2005 ◽  
pp. 291-313 ◽  
Author(s):  
Robert Laurini ◽  
Françoise Milleret
Keyword(s):  
Computational Geometry ◽  
Data Base ◽  
Spatial Data ◽  
Relational Algebra ◽  
Algebra Versus

scholarly journals Precision geoinformatical system of the pear gene-collection orchard

2012 ◽  
Vol 18 (1) ◽  
Author(s):  
J. Tamás ◽  
A. Nagy ◽  
T. Fórián ◽  
J. Nyéki ◽  
T. Szabó ◽  
...  
Keyword(s):  
Data Base ◽  
Spatial Data ◽  
Single Species ◽  
Field Work ◽  
Stress Sensitivity ◽  
Hyperspectral Data ◽  
Data Cube ◽  
The Sustainable Development ◽  
Fruit Species ◽  
Set Up

The principle task of the sustainable development is the preservation of the genetic variety, which is similar challenge in the horticulture regarding the sublimation of fruit species. The breeders of the traditional fruit strains give stock to the sustenance diversity of the agro-environment on the species and landscape level. In 2009, hyperspectral images have been taken by AISA Dual sensors from the pear gene pool in Újfehértó, Hungary. The hyperspectral data cube (in the wavelength range of 400-2500 nm, with 1.5 m ground resolution) ensured possibility to make the spectral library of pear species. In the course of the simultaneously field work the spatial position and individual extent of all pear trees was defined to set up a detailed GIS data base. The water stress sensitivity of single species and the descriptive spectral curves were determined with common evaluation of the spectral and spatial data. Based on the unique methodology processing and the hyperspectral data base suitable strains can be chosen for agro-environment and let take adaptive stocks regarding climate change into the genetic grafting work. Furthermore we could determine and map the sparsely species in the region with the help of the hyperspectral data.

PLCA

2012 ◽  
pp. 63-96 ◽  
Author(s):  
Kazuko Takahashi
Keyword(s):  
Graph Theory ◽  
Computational Geometry ◽  
Spatial Data ◽  
Qualitative Data ◽  
Spatial Reasoning ◽  
Research Area ◽  
Qualitative Spatial Reasoning ◽  
Research Areas ◽  
Fruitful Research ◽  
Topology Graph

This chapter describes a framework called PLCA for Qualitative Spatial Reasoning (QSR) based on the connection patterns of regions. The goal of this chapter is to provide a simple but expressive and feasible representation for qualitative data with sufficient reasoning ability. PLCA provides a symbolic representation for spatial data using simple objects. The authors of this chapter define its expression and operations on it, and show the correspondance between the expression and a figure. PLCA also provides semantical reasoning incorporated with spatial reasoning. Moreover, it can be extended to handle shapes of regions. Throughout the study, the authors discovered many topics that relate QSR to other research areas such as topology, graph theory, and computational geometry, while achieving the research goals. This indicates that QSR is a very fruitful research area.

scholarly journals Photogrammetric methods of terrain and obstacle data collection and AMDB creation based on satellite and UAS imagery

2018 ◽  
Vol 236 ◽  
pp. 01008
Author(s):  
Liudmila Mitsevich ◽  
Natalia Zhukovskaya
Keyword(s):  
Information Systems ◽  
Geographic Information Systems ◽  
Data Collection ◽  
Data Base ◽  
Spatial Data ◽  
Data Gathering ◽  
Efficient Technology ◽  
Aerial Photos ◽  
Attribute Data ◽  
Measurement Selection

The paper discusses the photogrammetric methods and process of creating geodata for aeronautical information databases. Efficient technology for collecting data on terrain, obstacles and cartographic information using satellite and aerial photos is given. The measurement, selection and evaluation of spatial data have met the international requirements for the completeness and accuracy as well as the developed structure of the attribute data base. The advantages of digital photogrammetric system and geographic information systems as the main software for aeronautical data gathering, are considered.

scholarly journals A framework for the investigation of a spatial data base

1981 ◽  
Vol 24 (1) ◽  
pp. 52-55
Author(s):  
W. J. Milne
Keyword(s):  
Data Base ◽  
Spatial Data

Support of Internal Transport Optimization in Farms with the Use of Spatial Information Systems

2020 ◽  
Vol 24 (4) ◽  
pp. 87-94
Author(s):  
Jakub Sikora ◽  
Anna Szeląg-Sikora ◽  
Zofia Gródek-Szostak ◽  
Marcin Niemiec ◽  
Joanna Stuglik
Keyword(s):  
Spatial Distribution ◽  
Data Base ◽  
Spatial Data ◽  
Agricultural Land ◽  
Spatial Information ◽  
Great Part ◽  
Agricultural Producers ◽  
East Region ◽  
Spatial Information Systems ◽  
Internal Transport

AbstractExcessive distribution of holdings is one of the most important barriers which causes that in a great part of Poland rational use of farms in impossible. This problem particularly concerns the south and east region of the country. Correct spatial distribution of lands belonging to holdings is one of the most crucial factors that enable an economically profitable activity of these farms. The aim of the paper was verification of the applicability of the prepared spatial data base, farm-land configuration of agricultural plots of the selected agricultural farms to indicate the areas of optimization of the internal transport. As a result, based on the developed spatial data base, an impact of the land configuration of agricultural plots in the investigated group of agricultural producers on organization of the field transport between the holding and agricultural plots was determined. The scope of the paper covered a vegetable producer group, which associates 5 farms that have in total 620 ha of agricultural land.

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