Heuristic Approaches to Spatial Analysis in Archaeology

1982 ◽  
Vol 47 (1) ◽  
pp. 31-63 ◽  
Author(s):  
Keith W. Kintigh ◽  
Albert J. Ammerman

This article discusses an approach to spatial analysis which is more closely tailored to archaeological objectives and archaeological data than are more "traditional" quantitative techniques such as nearest neighbor analysis. Heuristic methods, methods which make use of the problem context and which are guided in part by intuitively derived "rules," are discussed in general and with reference to the problem of spatial analysis in archaeology. A preliminary implementation of such a method is described and applied to artificial settlement data and artifact distributions from the Magdalenian camp of Pincevent. Finally, the prospects for further development of heuristic methods are elaborated.

1974 ◽  
Vol 39 (1) ◽  
pp. 16-34 ◽  
Author(s):  
Robert Whallon

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.


1979 ◽  
Vol 44 (3) ◽  
pp. 430-445 ◽  
Author(s):  
David Pinder ◽  
Izumi Shimada ◽  
David Gregory

Human behavior has spatial corollaries of great importance to both geographers and archaeologists. Some of these corollaries can be expressed as point maps, and to describe them objectively it has become common-place to employ the nearest-neighbor analysis technique devised by ecologists. But recently it has been shown that "underestimation" is an inherent flaw of the technique. Initially, therefore, the attention of this paper focuses on elimination of this problem by modifying the traditional formulae. With the flaw corrected, the issues surrounding interpretation of the nearest-neighbor statistic are discussed, and a review is made of the special difficulties of applying the technique to archaeological data.


2011 ◽  
Vol 31 (2) ◽  
pp. 122-134
Author(s):  
Harry Octavianus Sofian

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.


1984 ◽  
Vol 29 (103) ◽  
pp. 25-40 ◽  
Author(s):  
Frank W. Eddy ◽  
Richard E. Oberlin ◽  
T.Reid Farmer

2020 ◽  
Vol 10 (22) ◽  
pp. 8220
Author(s):  
Areeba Umair ◽  
Muhammad Shahzad Sarfraz ◽  
Muhammad Ahmad ◽  
Usman Habib ◽  
Muhammad Habib Ullah ◽  
...  

In today’s world, security is the most prominent aspect which has been given higher priority. Despite the rapid growth and usage of digital devices, lucrative measurement of crimes in under-developing countries is still challenging. In this work, unstructural crime data (900 records) from the news archives of the previous eight years were extracted to predict the behavior of criminals’ networks and transform it into useful information using natural language processing (NLP). To estimate the next move of criminals in Pakistan, we performed hotspot-based spatial analysis. Later, this information is fed to two different classifiers for possible identification and prediction. We achieved the maximum accuracy of 92% using K-Nearest Neighbor (KNN) and 62% using the Random Forest algorithm. In terms of crimes, the results showed that the most prevalent crime events are robberies. Thus, the usage of digital information archives, spatial analysis, and machine learning techniques can open new ways of handling a peaceful and sustainable society in eradicating crimes for countries having paucity of financial resources.


1969 ◽  
Vol 47 (3) ◽  
pp. 391-399 ◽  
Author(s):  
J. A. McCarter ◽  
N. Kadohama ◽  
C. Tsiapalis

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.


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