Nearest-Neighbor Analysis of Trilobite Morphospace

1990 ◽  
Vol 39 (4) ◽  
pp. 371 ◽  
Author(s):  
Mike Foote
Keyword(s):  
Nearest Neighbor ◽  
Nearest Neighbor Analysis

scholarly journals SEBARAN GUA ARKEOLOGIS DI KECAMATAN PALIYAN KABUPATEN GUNUNGKIDUL DENGAN MENGGUNAKAN ANALISIS TETANGGA TERDEKAT (NEAREST NEIGHBOURHOOD ANALYSIS)

2011 ◽  
Vol 31 (2) ◽  
pp. 122-134
Author(s):  
Harry Octavianus Sofian
Keyword(s):  
Spatial Distribution ◽  
Nearest Neighbor ◽  
Karst Area ◽  
Statistic Analysis ◽  
Colonial Era ◽  
Nearest Neighbor Analysis ◽  
Neighbourhood Analysis ◽  
Dutch Colonial

Gunung Sewu karst area has attracted the attention archaeologists since the Dutch colonial era to the present. One of the karst area is located Paliyan District, Gunungkidul Regency. Based on research conducted by Harry Octavianus Sofian in year 2007, there were at least 11 caves and rockshelter as a potential residential dwelling. This paper will discuss and look for patterns of spatial distribution of caves and archaeological potential rockshelter as an ancient settlement in the District Paliyan using Nearest Neighbor Analysis (Analisis Tetangga Terdekat) manually and use Neighborhood Statistic analysis contained in the Arc View software.

Spatial Analysis of Occupation Floors II: The Application of Nearest Neighbor Analysis

1974 ◽  
Vol 39 (1) ◽  
pp. 16-34 ◽  
Author(s):  
Robert Whallon
Keyword(s):  
Spatial Analysis ◽  
Dimensional Analysis ◽  
Analysis Of Variance ◽  
Nearest Neighbor ◽  
Spatial Clustering ◽  
The Other ◽  
Nearest Neighbor Analysis ◽  
Grid Unit ◽  
Distributional Patterns ◽  
The Moment

AbstractThe statistical method of nearest neighbor analysis is presented for the study of distributional patterns of artifacts over occupation floors. It is compared with the previously presented method of dimensional analysis of variance. Nearest neighbor analysis is found to be much more sensitive in its detection of non-random spatial clustering. It has the advantage of not being particularly limited in application by problems of size or shape of the area under study, although it does require coordinates for each artifact and cannot be applied when only counts per grid unit are known. On the other hand, nearest neighbor analysis encounters considerable problems in defining the artifact clusters on an area and in comparing the distributions of several artifact types. These problems severely limit the utility of nearest neighbor analysis at the moment. Dimensional analysis of variance handles them better.

Proflavine and fidelity of DNA polymerase

1969 ◽  
Vol 47 (3) ◽  
pp. 391-399 ◽  
Author(s):  
J. A. McCarter ◽  
N. Kadohama ◽  
C. Tsiapalis
Keyword(s):  
Dna Polymerase ◽  
Nearest Neighbor ◽  
Calf Thymus Dna ◽  
Nearest Neighbor Analysis ◽  
E Coli ◽  
Calf Thymus

With native calf thymus DNA3 as primer and DNA polymerase of E. coli, proflavine (0 × −1 × 10−4 M) inhibited the incorporation of dATP, dCTP, dGTP, and TTP about equally. Using dAT as primer there was inhibition of the rate of synthesis of polynucleotide by proflavine and no more incorporation from dGTP and dCTP than in the absence of the acridine. Nearest-neighbor analysis of the polynucleotide synthesized by DNA polymerase from dATP and TTP showed that sequences of TpT and ApA were formed in the presence of proflavine. Changed sequences were observed whether the reaction was primed with dAT or was unprimed, and the extent of change depended on the concentration of proflavine. The homopolymer dA:dT was identified as one of the products formed.

scholarly journals The nucleotide sequences recognized by endonucleases AvaI and AvaII from Anabaena variabilis

1980 ◽  
Vol 185 (1) ◽  
pp. 65-75 ◽  
Author(s):  
S G Hughes ◽  
K Murray
Keyword(s):  
Nearest Neighbor ◽  
Bacteriophage Lambda ◽  
Nucleotide Sequences ◽  
Anabaena Variabilis ◽  
Cleavage Sites ◽  
Independent Evidence ◽  
Nearest Neighbor Analysis ◽  
The Individual ◽  
Lambda Dna

Determination of the 5'-terminal sequences flanking all the individual cleavage sites for endonuclease AvaI in bacteriophage-lambda DNA has shown that this enzyme recognizes the hexanucleotide sequences: (Formula: see text), This sequence is cut as shown by the arrows to give single-stranded 5'-tetranucleotide protrusions (cohesive ends). Endonucleases SmaI, XhoI and XmaI recognize different symmetrical subsets of this sequence and provide independent evidence for the occurrence of these subsets at particular endonuclease-AvaI cleavage sites in the bacteriophage-lambda genome. Further evidence for this structure came from the demonstration that DNA fragments generated by endonuclease AvaI can be ligated to form a discrete set of larger molecules and from nearest-neighbor analysis which showed that cytosine residues occurred at the 3'-side of cleavage points. The observation that endonuclease AvaII recognized a subset of the sites recognized by AsuI [Hughes, Bruce & Murray (1979) Biochem. J. 185, 59-63[led to the deduction that AvaII recognize the pentanucleotide sequence: (Formula: see text), and breaks internucleotide bonds at the positions indicated by the arrows.

scholarly journals Analisis Penyebaran Hunian dengan Menggunakan Metode Nearest Neighbor Analysis

2020 ◽  
Vol 2 (1) ◽  
pp. 46
Author(s):  
Ahmad Rifad Riadhi ◽  
Muhammad Kasim Aidid ◽  
Ansari Saleh Ahmar
Keyword(s):  
Nearest Neighbor ◽  
Nearest Neighbor Analysis

Abstrak Nearest neighbor analysis merupakan sebuah metode analisis yang dapat digunakan untuk menentukan suatu pola penyebaran, apakah berpola seragam (uniform), acak (random), atau mengelompok (cluster). Nearest neighbor analysis dalam perhitungannya mempertimbangkan jarak, jumlah titik lokasi penyebaran, dadn luas wilayah, hasil akhir analisis ini berupa indeks tetangga  terdekat (T) yang nilainya berkisar antara 0 sampai 2.15. Untuk menentukan faktor-faktor yang mempengaruhi pola penyebaran hunian, pada penelitian ini menggunakan analisis korelasi (r). Hasil dari penelitian ini berdasarkan perhitungan nearest neighbor analysis yaitu pola penyebaran hunian di Kota Kendari secara keseluruhan memiliki pola penyebaran yang cenderung berpola acak artinya jarak antara titik-titik penyebaran hunian tidak memiliki jarak yang sama, dan hasil dari perhitungan korelasi diperoleh faktor-faktor yang mempengaruhi pola penyebaran hunian yang cenderung berpola acak. Faktor yang paling berpengaruh dengan hubungan positif yaitu faktor pertumbuhan penduduk, hal ini dapat dilihat pada hasil korelasi dimana faktor pertumbuhan penduduk memiliki nilai korelasi tertinggi yaitu 0.618 dan faktor yang paling berengaruh dengan hubungan negatif yaitu faktor fasilitas Pendidikan hal ini dapat dilihat pada hasil korelasi dimana faktor fasilitas Pendidikan memiliki nilai korelasi negatif tertinggi yaitu -0.526.Keywords: Nearest Neighbor Analysis, Pola Penyebaran.

Sign in / Sign up

Export Citation Format

Share Document