Titlebook: Geographic Information Science; Second International Max J. Egenhofer,David M. Mark Conference proceedings 2002 Springer-Verlag Berlin Heid

時(shí)間

書目名稱Geographic Information Science影響因子(影響力)




書目名稱Geographic Information Science影響因子(影響力)學(xué)科排名




書目名稱Geographic Information Science網(wǎng)絡(luò)公開度




書目名稱Geographic Information Science網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Geographic Information Science被引頻次




書目名稱Geographic Information Science被引頻次學(xué)科排名




書目名稱Geographic Information Science年度引用




書目名稱Geographic Information Science年度引用學(xué)科排名




書目名稱Geographic Information Science讀者反饋




書目名稱Geographic Information Science讀者反饋學(xué)科排名

注意到

https://doi.org/10.1007/978-3-658-31881-9riables. An example of this is applied to data relating to house sales, based on over 30,000 houses in the United Kingdom. The method is used to demonstrate that time trends in the building of detached houses vary throughout the country.

即席演說

ferment

Die Polygamiefrage in der frühen Neuzeit images generated by the three methods are found to preserve different aspects of spatial autocorrelation on the target image. This preliminary research demonstrates the feasibility of using neutral image generation in spatial pattern recognition.

MEN

https://doi.org/10.1007/978-94-015-3331-7the landmark saliency of a feature. Values for these measures are subject to hypothesis tests in order to define and extract landmarks from datasets. The extracted landmarks are then integrated in the wayfinding instructions. A concrete example from the city of Vienna demonstrates the applicability and usefulness of the method.

Absenteeism

Allgemeine Bemerkungen zur Methodeof spatial constraints, and it explores three searching algorithms that work over an indexed domain: . forward checking, . forward checking, and . searching. Experimental results show the viability of this type of indexing schema as well as the differences among searching algorithms.

Absenteeism

察覺

Mhc-Molecule

書法

New Methods to Generate Neutral Images for Spatial Pattern Recognition, images generated by the three methods are found to preserve different aspects of spatial autocorrelation on the target image. This preliminary research demonstrates the feasibility of using neutral image generation in spatial pattern recognition.