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[HTML][HTML] An overview of GIS-RS applications for archaeological and cultural heritage under the DBAR-heritage mission
Y Yao, X Wang, L Luo, H Wan, H Ren - Remote Sensing, 2023 - mdpi.com
In recent decades, the application of GIS and RS in archaeological and cultural heritage
(ACH) has witnessed a notable surge both in terms of quantity and scope. During the initial …
(ACH) has witnessed a notable surge both in terms of quantity and scope. During the initial …
[HTML][HTML] Testing the representativity of Palaeolithic site distribution: The role of sampling bias in the European Upper and Final Palaeolithic record
Archaeological sites are not distributed evenly throughout the landscape. For the
Palaeolithic record, signals derived from the inhomogeneous spatial patterns are used to …
Palaeolithic record, signals derived from the inhomogeneous spatial patterns are used to …
[HTML][HTML] Towards religious landscape: protection of Tibetan Buddhist heritage in Aba Prefecture
X Zu, C Gao, Y Wang - International Journal of Applied Earth Observation …, 2024 - Elsevier
Aba Prefecture is a prominent Tibetan inhabited area with profound Tibetan Buddhist sites
that need to be protected. This study demonstrates that the value of religious sites lies in …
that need to be protected. This study demonstrates that the value of religious sites lies in …
Selection of renewable energy systems sites using the MaxEnt model in the Eastern Mediterranean region in Turkey
Global warming has become the center of worldwide environmental concerns, especially in
recent years. One of the ways to deal with global warming that causes climate change is to …
recent years. One of the ways to deal with global warming that causes climate change is to …
[HTML][HTML] Long time-series ecological niche modelling using archaeological settlement data: Tracing the origins of present-day landscape
Human activities have shaped the environment since long before the advent of agriculture
and resulted in anthropogenic landscapes, which are sometimes perceived as natural, but …
and resulted in anthropogenic landscapes, which are sometimes perceived as natural, but …
Modeling habitat suitability of Hippophae rhamnoides L. using MaxEnt under climate change in China: A case study of H. r. sinensis and H. r. turkestanica
X He, J Si, L Zhu, D Zhou, C Zhao, B Jia… - Frontiers in Forests …, 2023 - frontiersin.org
Hippophae rhamnoides is widely known for its important ecological, economic, and social
benefits. It is known as the pioneer plant of soil and water conservation, with homology in …
benefits. It is known as the pioneer plant of soil and water conservation, with homology in …
Toward a Monte Carlo approach to selecting climate variables in MaxEnt
JL Schnase, ML Carroll, RL Gill, GS Tamkin, J Li… - PloS one, 2021 - journals.plos.org
MaxEnt is an important aid in understanding the influence of climate change on species
distributions. There is growing interest in using IPCC-class global climate model outputs as …
distributions. There is growing interest in using IPCC-class global climate model outputs as …
Pikunda-Munda and Batalimo-Maluba: Archaeological investigations of the Iron Age settlement history of the western and northern Congo Basin
D Seidensticker - African Archaeological Review, 2024 - Springer
The spread of pottery-producing communities into the Congo rainforest is commonly linked
to demic diffusion, driven by the so-called “Bantu Expansion.” It is considered the primary …
to demic diffusion, driven by the so-called “Bantu Expansion.” It is considered the primary …
[HTML][HTML] A maxent predictive model for hunter-gatherer sites in the southern pampas, Argentina
DJ Rafuse - Open Quaternary, 2021 - openquaternary.com
The following paper presents the results of a Species Distribution Model (SDM) for
grassland hunter-gatherer archaeology sites in the southern Pampas region of Argentina …
grassland hunter-gatherer archaeology sites in the southern Pampas region of Argentina …
[HTML][HTML] Efficient first-order algorithms for large-scale, non-smooth maximum entropy models with application to wildfire science
Maximum entropy (MaxEnt) models are a class of statistical models that use the maximum
entropy principle to estimate probability distributions from data. Due to the size of modern …
entropy principle to estimate probability distributions from data. Due to the size of modern …