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amoeba (a multidirectional optimal ecotope-based algorithm) method  (Ecotope Inc)

 
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    Ecotope Inc amoeba (a multidirectional optimal ecotope-based algorithm) method
    Amoeba (A Multidirectional Optimal Ecotope Based Algorithm) Method, supplied by Ecotope Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/amoeba+(a+multidirectional+optimal+ecotope-based+algorithm)+method/a+multidirectional+optimal+ecotope+based+algorithm++amoeba+/pmc09655231-19-5-9
    Average 90 stars, based on 1 article reviews
    amoeba (a multidirectional optimal ecotope-based algorithm) method - by Bioz Stars, 2026-11
    90/100 stars

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    Article Title: Developing a parallel computational implementation of AMOEBA
    Article Snippet: Taylor & Francis makes every effort to ensure the accuracy of all the information (the “Content”) contained in the publications on our platform.. However, Taylor & Francis, our agents, and our licensors make no representations or warranties whatsoever as to the accuracy, completeness, or suitability for any purpose of the Content.. Any opinions and views expressed in this publication are the opinions and views of the authors, and are not the views of or endorsed by Taylor & Francis.

    Article Title: Optimizing distance-based methods for large data sets
    Article Snippet: Distance-based methods for measuring spatial concentration of industries have received an increasing popularity in the spatial econometrics community.. However, a limiting factor for using these methods is their computational complexity since both their memory requirements and running times are in OðnÞ.. In this paper, we present an algorithm with constant memory requirements and shorter running time, enabling distance-based methods to deal with large data sets.

    Article Title: Visual Analytic Tools and Techniques in Population Health and Health Services Research: Scoping Review
    Article Snippet: AMOEBA (A Multidirection al Optimum Ecotope-Based Algorithm) procedure for reducing small areas by enlarging the area base over which the summary statistic can be calculated.

    Article Title: Spatial urban data system: A cloud-enabled big data infrastructure for social and economic urban analytics
    Article Snippet: For instance, using global and local spatial clustering approaches (Theil 503 indices – generalized entropy, and Multidirectional Optimal Ecotope-Based Algorithm 504 (AMOEBA) implement via ClusterPy), the TAM was used to identify and levels of spatial 505 inequalities in public transport availability at intra-city, city- and regional-levels across the 506 county.

    Article Title: Detection of arbitrarily-shaped clusters using a neighbor-expanding approach: A case study on murine typhus in South Texas
    Article Snippet: These statistical methods were incorporated into some spatial cluster detection methods, such as the Multidirectional Optimal Ecotope-Based Algorithm (AMOEBA) proposed by Aldstadt and Getis [ ].

    Article Title: Assessing the delineated commuter sheds of various clustering methods
    Article Snippet: In commuting research the geographic area under investigation is of central importance.. When examining commutes occurring in a region of interest, the selection and use of different city, county, or metropolitan region boundaries will have a large impact on analyses of travel times and distances, whether a transit network provides adequate access to jobs, levels of congestion, and so on.. This research examines two cluster detection methods to delineate the commuter shed of Miami, Florida and Cincinnati, Ohio.

    Article Title: Utilizing Crowdsourced Data for Studies of Cycling and Air Pollution Exposure: A Case Study Using Strava Data
    Article Snippet: In this paper, the improved AMOEBA (A Multidirectional Optimum Ecotope-Based) algorithm developed by [ ] is used to identify clusters of high non-commuting rate .

    Article Title: Comparative Study of Approaches for Detecting Crime Hotspots with Considering Concentration and Shape Characteristics
    Article Snippet: From the selected methods, the AMOEBA (A Multidirectional Optimal Ecotope-Based Algorithm) method was more accurate in describing the concentration and shape characteristics and was powerful in discovering complex hotspots.



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    Ecotope Inc amoeba (a multidirectional optimal ecotope-based algorithm) method
    Amoeba (A Multidirectional Optimal Ecotope Based Algorithm) Method, supplied by Ecotope Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/amoeba+(a+multidirectional+optimal+ecotope-based+algorithm)+method/a+multidirectional+optimal+ecotope+based+algorithm++amoeba+/pmc09655231-19-5-9
    Average 90 stars, based on 1 article reviews
    amoeba (a multidirectional optimal ecotope-based algorithm) method - by Bioz Stars, 2026-11
    90/100 stars
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