Spatial modeling of archaeological site locations based on summed probability distributions and hot-spot analyses: A case study from the Three Kingdoms Period, Korea

Wright, David K.; Kim, Junkyu; Park, Jiyoung; Yang, Juhee; Kim, Jangsuk

doi:10.1016/j.jas.2019.105036

Cited by 11 publications

(6 citation statements)

References 56 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Geospatial analysis related to the spatial design of hotspots can fnd out which areas have a high potential for fres so as to prevent future fres [81]. Te spatial pattern of hotspots is known so that future fre prevention, mitigation, and prevention strategies can be planned [82][83][84]. Seeing this, it is imperative to research the spatial pattern of hotspots, especially in the capital city of a new country.…”

Section: Methodsmentioning

confidence: 99%

Hotspot Spatial Patterns Using SNNP-VIIRS for Fire Potential Monitoring

Kumalawati

Yuliarti

Ali

et al. 2023

International Journal of Forestry Research

View full text Add to dashboard Cite

The province of East Kalimantan is officially designated as the State Capital because the area has the least risk of disaster, even though it cannot be separated from disasters such as forest and land fires. This study aims to determine the spatial pattern of hotspots using SNPP-VIIRS for monitoring potential fires. The research used the descriptive-analytic method to identify the research area and collect secondary data. Secondary data is spatial and nonspatial data consisting of hotspot data from the recording of the SNPP -VIIRS image, including frequency and distribution of hotspots. The data usage from 2012–2021 using SNPP-VIIRS morning and evening recordings. The study results show that the spatial pattern of potential hotspots in the capital city of a new country is quite varied. The spatial pattern of hotspots shows that Kutai Kartanegara Regency as one of the locations for the new State Capital, has the highest number of hotspots, namely 38,970 with the highest accuracy in East Kalimantan Province, namely, 1,616 (low), 36,253 (nominal), and 1,101 (high). The potential for fire disasters in Kutai Kartanegara Regency as an IKN location is high, so planning is urgently needed for future fire prevention, mitigation, and prevention strategies. The spatial pattern of hotspots is known, so it can be used to monitor potential fires and minimize fire occurrences.

show abstract

Section: Methodsmentioning

confidence: 99%

Hotspot Spatial Patterns Using SNNP-VIIRS for Fire Potential Monitoring

Kumalawati

Yuliarti

Ali

et al. 2023

International Journal of Forestry Research

View full text Add to dashboard Cite

show abstract

“…Spatial distribution was analysed by Getis-Ord and Hot Spot statistic using Arc GIS software. Recently, many studies have used these tools to detect the amount of urban, agriculture, sprawling areas around the frost and archaeological areas to protect these areas [87][88][89][90]. For the present study; the available raster data were firstly converted into vector polygon data to make use of statistical analysis available for vector data.…”

Section: Methodsmentioning

confidence: 99%

Hydrological and archaeological studies to detect the deterioration of Edfu temple in Upper Egypt due to environmental changes during the last five decades

Megahed

2020

SN Appl. Sci.

View full text Add to dashboard Cite

Archaeological sites in Upper Egypt, especially Edfu Temple, are considered a wealth of human civilization and are irreplaceable. Deterioration of archaeological sites due to environmental changes in Edfu city include disintegration and exfoliation of stones, dissolution of building materials, loss of moral paintings, crystallization of salts in walls and columns, stone bleeding, destruction of wall paintings and texts, decreasing of durability of monumental stones, and discolouring. Recently, the archaeological field has received a lot of interest from Remote Sensing (RS) and Geographic Information Systems (GIS) users to observe the impact of environmental changes on archaeological sites during long periods. CORONA, LANDSAT, and SENTINEL-2A satellite images are our tools in detecting the changes around the study area and creating innovative solutions. Results from the analysis conducted suggest that most of the environmental changes in the study area are caused by uncontrolled urban sprawling and rising groundwater levels due to agricultural and urban expansion. The proximity of agricultural lands to archaeological areas has also affected the rise in groundwater levels. This has also played an important role in the transfer of chemical contaminants with the leaking water of soil to these archaeological sites, resulting in the growth of salt crystals. In this research, the environmental hazards and their effects are being observed for the archaeological sites of Edfu city (Upper Egypt). A comprehensive analysis has been conducted for the Horus Temple considering its building material, soil characteristics and environmental setting. Finally, we have created some models to protect the archaeological sites from environmental changes by the integration of remote sensing and GIS techniques.

show abstract

“…A. Brown & Crema, 2019; Crema & Kobayashi, 2020; Hosner et al, 2016; Wright et al, 2020). Indeed, the number of published archaeological studies using SPD analysis of large radiocarbon data sets has increased significantly in the last 15 years (Figure 1; see also data in Carleton & Groucutt, 2019).…”

Section: Archaeology's Grand Challenges and The Role Of “Big Data”mentioning

confidence: 99%

Sedimentary unknowns constrain the current use of frequency analysis of radiocarbon data sets in forming regional models of demographic change

Ward

Larcombe

2021

Geoarchaeology

View full text Add to dashboard Cite

Statistical manipulation of large radiometric data sets (big data) is increasingly applied to those grand challenges in archaeology that relate to past human‐behavioural dynamics and includes frequency analysis of radiocarbon ages (summed probability distributions [SPDs]). Australian SPD studies use the radiocarbon database “AustArch” to examine regional‐ and continental‐scale demographic change. We review Australian studies, focussing on sampling bias and taphonomic bias, finding that (i) time‐averaged radiometric data cannot simply be correlated across regions, and (ii) sedimentology imposes genuine constraints upon what can be known. Internationally, flaws in SPD use occur in all main research phases, and most importantly, at the initial phase of defining research questions, logic and general approach. Major problems stem from not planning to obtain a sound understanding of the variability of past sedimentary environments, potential occupation sites and site formation processes. Thus, cultural inferences are too often made from archaeological data without due consideration of the natural processes that may explain the data. Highlighting exemplar studies, we present practical approaches to improve SPD use for exploring changes in demography, aimed at reducing uncertainties and reconnecting archaeological, chronological, geological and sedimentary data. Most important is to increase understanding of physical processes and their control on the archaeological record.

show abstract

Spatial modeling of archaeological site locations based on summed probability distributions and hot-spot analyses: A case study from the Three Kingdoms Period, Korea

Cited by 11 publications

References 56 publications

Hotspot Spatial Patterns Using SNNP-VIIRS for Fire Potential Monitoring

Hotspot Spatial Patterns Using SNNP-VIIRS for Fire Potential Monitoring

Hydrological and archaeological studies to detect the deterioration of Edfu temple in Upper Egypt due to environmental changes during the last five decades

Sedimentary unknowns constrain the current use of frequency analysis of radiocarbon data sets in forming regional models of demographic change

Contact Info

Product

Resources

About