Density, intensity and clustering patterns in the spatial distribution of Galician megaliths (NW Iberian Peninsula)

Landscape, orientation and celestial phenomena on the ‘Coast of Death’ of NW Iberia

“…The geographical area and associated mound/dolmens choices were adopted from the mound clustering models created by Carrero-Pazos and Rodríguez Casal for Galicia, 18 which used a Kernel density analysis to determine the level and form of clustering of all known mounds in Galicia, to create a map that illustrates core areas of this monument clustering. 19 We chose the cluster in the most NW corner of Galicia that correspond to the historic district of Costa da Morte.…”

Take a seed! Revealing Neolithic landscape and agricultural development in the Carpathian Basin through multivariate statistics and environmental modelling

“…The null hypothesis (H0) is that the data point pattern is a realization of complete spatial randomness. Intensity analysis [85] (expected number of points per unit area [86]) allows to track changing frequencies of observations in the data over a geographic extent. The interpolation (KDE) provides a smoothed visualization of the point pattern at different radii, through which the density levels were processed [76,81,[86][87][88].…”

“…Intensity analysis [85] (expected number of points per unit area [86]) allows to track changing frequencies of observations in the data over a geographic extent. The interpolation (KDE) provides a smoothed visualization of the point pattern at different radii, through which the density levels were processed [76,81,[86][87][88]. Among other possibilities, the radius (or bandwidth) of the KDE can be determined from CSR tests, which test for regular, clustered, or random point distribution [82,84].…”

“…Just like the bias by modern land-use and built-up change [78,113], which impacts the distribution of the current stage of archaeological knowledge, modern datasets cannot be used to entirely 'reconstruct' prehistoric landcover and the archaeological landscapes are not only affected by the physical structure of the landscape but also by perceptional and cognitive patterns [75,[149][150][151][152][153][154]. Particularly when considering single environmental variables [86,155], environmental determinism can lead to ignore sociocultural components in the decision-making processes during human-environment interactions [154]. On the other hand, detailed modern maps or datasets are a compilation of manifold environmental components such as topography and topographical indices, climate, morphometrics, wetness index, channel networks, and many other [63], which provide very detailed information about the ecosystem connectivity [75,153].…”

La casa imaginaria: hoyos de destoconado y desarraigo de árboles en asentamientos al aire libre de la Prehistoria Reciente

“…Durante casi todo el s. xx, el ámbito doméstico de la Prehistoria Reciente en el Noroeste de la Península Ibérica fue prácticamente una incógnita. La invisibilidad superficial de las estructuras y una investigación centrada en temas como las tumbas funerarias (Bradley y Fábregas, 1995: 153-166;Carrero-Pazos, 2019: 2097-2108) y el arte rupestre grabado en piedra (Bradley et al, 1994: 159-168;Rodríguez Rellán et al, 2018: 109-127) no contribuyeron a su conocimiento hasta la década de 1990. Paradójicamente, fue la Arqueología de Gestión la que involuntariamente promovió su impulso.…”