scholarly journals Detecting and locating cyber and physical stresses in smart grids using the k‐nearest neighbour analysis of instantaneous correlation of states

2021 ◽  
Author(s):  
Md Abul Hasnat ◽  
Mahshid Rahnamay‐Naeini
Keyword(s):  
Smart Grids ◽  
Nearest Neighbour ◽  
Neighbour Analysis

The Distribution of Hospitality Services in Uyo Urban, Nigeria

2018 ◽  
pp. 137-150
Author(s):  
Violet Bassey Eneyo
Keyword(s):  
Data Collection ◽  
Global Positioning System ◽  
Central Area ◽  
Positioning System ◽  
Nearest Neighbour ◽  
Global Positioning ◽  
Neighbour Analysis

This paper examines the distribution of hospitality services in Uyo Urban, Nigeria. GIS method was the primary tool used for data collection. A global positioning system (GPS) Garmin 60 model was used in tracking the location of 102 hospitality services in the study area. One hypothesis was stated and tested using the nearest neighbour analysis. The finding shows evidence of clustering of the various hospitality services. The tested hypothesis further indicated that hospitality services clustered in areas that guarantee a sustainable level of patronage to maximize profit. Thus, the hospitality services clustered in selected streets in the metropolis while limited numbers were found outside the city’s central area.

scholarly journals Extension of mathematical background for Nearest Neighbour Analysis in three-dimensional space

2013 ◽  
Vol 11 ◽  
pp. 25-36
Author(s):  
Eva Stopková
Keyword(s):  
Dimensional Space ◽  
Average Distance ◽  
Three Dimensional ◽  
Nearest Neighbour ◽  
Mathematical Background ◽  
Area Of Interest ◽  
Nearest Neighbours ◽  
Anisotropic Function ◽  
Neighbour Analysis ◽  
Three Dimensional Space

Proceeding deals with development and testing of the module for GRASS GIS [1], based on Nearest Neighbour Analysis. This method can be useful for assessing whether points located in area of interest are distributed randomly, in clusters or separately. The main principle of the method consists of comparing observed average distance between the nearest neighbours r A to average distance between the nearest neighbours r E that is expected in case of randomly distributed points. The result should be statistically tested. The method for two- or three-dimensional space differs in way how to compute r E . Proceeding also describes extension of mathematical background deriving standard deviation of r E , needed in statistical test of analysis result. As disposition of phenomena (e.g. distribution of birds’ nests or plant species) and test results suggest, anisotropic function would repre- sent relationships between points in three-dimensional space better than isotropic function that was used in this work.

scholarly journals Distribusi Keruangan Penanaman Modal di Kabupaten Bantul

2020 ◽  
Vol 34 (1) ◽  
pp. 25
Author(s):  
Aprilia Prasmudika Sighita ◽  
Bambang Sriyanto Eko Prakoso
Keyword(s):  
Economic Growth ◽  
Spatial Distribution ◽  
Descriptive Analysis ◽  
Analytical Techniques ◽  
Nearest Neighbour ◽  
Investment Climate ◽  
R Value ◽  
Investment Firm ◽  
Neighbour Analysis ◽  
Selection Of

Kabupaten Bantul meraih prestasi tingkat nasional di tahun 2008 yakni memperoleh penghargaan dalam KPPOD Award. Penghargaan yang diperoleh menjadi awal yang baik bagi Kabupaten Bantul dalam memperbaiki iklim penanaman modal. Tujuan dari penelitian ini untuk mengidentifikasi dan menganalisis distribusi keruangan penanaman modal dan pengaruh karakteristik wilayah terhadap pemilihan lokasi penanaman modal. Teknik analisis yang digunakan adalah analisis deskriptif, analisis tetangga terdekat, dan analisis regresi berganda. Berdasarkan hasil kajian dapat disimpulkan bahwa distribusi keruangan penanaman modal di Kabupaten Bantul terdistribusi di 10 kecamatan, sedangkan 7 kecamatan lainnya belum menjadi destinasi penanaman modal. Untuk lokasi perusahaan penanaman modal membentuk pola dispersed atau merata dengan nilai R sebesar 5,920887 (R>1). Sebagian dari lokasi penanaman modal berada di tepi jalan raya. Pemilihan lokasi penanaman modal di Kabupaten Bantul dipengaruhi oleh faktor daya tarik karakteristik wilayah seperti pertumbuhan ekonomi dan jumlah objek wisata. Bantul Regency won the national award of KPPOD in 2008. That award was a good commencement to improve Bantul Regency’s investment climate. The aims of this research were to identify and analyse the spatial distribution of investment and the effect of regional characteristics on the selection of investment site. The analytical techniques used in the research are descriptive analysis, nearest neighbour analysis, and multiple regression analysis. Based on the analysis, it can be concluded that distribution of investment in Bantul Regency distributed in 10 sub-districts, while 7 others are not yet be destination of investment. For the location of investment firms forms a dispersed pattern with R value 5,920887 (R>1). Some investment firm are located on the edge of highway. The selection of investment sites in Bantul regency is affected by the attraction factors of the region characteristics such as economic growth and number of tourism objects.   

Nearest Neighbour Analysis of the Photosystem I Subunits in Barley and Their Binding of Ferredoxin

1990 ◽  
pp. 1631-1634 ◽  
Author(s):  
Birgitte Andersen ◽  
Birgit Koch ◽  
Henrik Vibe Scheller ◽  
Jens Sigurd Okkels ◽  
Birger Lindberg Møller
Keyword(s):  
Photosystem I ◽  
Nearest Neighbour ◽  
Neighbour Analysis

scholarly journals Hidrogeomorfologi mataair kaki Vulkan Merapi bagian selatan

2018 ◽  
Vol 16 (1) ◽  
Author(s):  
Sholu Ratih ◽  
Hervina Nur Awanda ◽  
Anton Cesar Saputra ◽  
Arif Ashari
Keyword(s):  
Nearest Neighbour ◽  
Neighbour Analysis

Keberadaan mataair pada suatu wilayah merupakan potensi sumberdaya alam yang perlu dimanfaatkan secara optimal. Lereng selatan Vulkan Merapi sebagai bagian dari vulkan strato muda memiliki potensi sumber mataair. Dalam upaya melakukan pengelolaan mataair informasi mengenai distribusi spasial mataair sangat diperlukan. Penelitian ini dilaksanakan pada lereng selatan Vulkan Merapi dengan tujuan: (1) menganalisis pola persebaran mataair berdasarkan satuan bentuklahan, (2) menganalisis pengaruh kondisi morfologi terhadap persebaran mataair. Metode yang digunakan mencapai tujuan adalah survei geomorfologis dengan pengambilan sampel secara sistematik. Analisis data dilakukan secara deskriptif-eksploratif dengan memperhatikan aspek spasial didukung analisis SIG dengan nearest neighbour analysis. Hasil penelitian: (1) pada lereng selatan Vulkan Merapi terdapat pemunculan mataair dengan pola mengelompok pada satuan bentuklahan kaki vulkan dan dataran kaki vulkan. Pola mengelompok ini mengindikasikan sistem sabuk mataair. (2) kondisi geomorfologis berpengaruh terhadap persebaran mataair, terutama faktor bentuklahan, proses geomorfologi, dan litologi. Anomali persebaran mataair pada bagian timur merupakan contoh pengaruh proses geomorfologi berupa vulkanisme aktif yang membatasi keterdapatan mataair.

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