<i>Terra, Silva et Paludes</i>. Assessing the Role of Alluvial Geomorphology for Late-Holocene Settlement Strategies (Po Plain – N Italy) Through Point Pattern Analysis

Brandolini, Filippo; Carrer, Francesco

doi:10.1080/14614103.2020.1740866

Cited by 28 publications

(19 citation statements)

References 59 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Point pattern analysis (PPA) is the study of the spatial arrangements of points in space. The application of PPA in landscape archaeology is growing popular for investigating both settlements [ 51 , 52 ] and monuments patterns [ 53 – 55 ]. A point pattern corresponds to a set of locations of spatial events generated by a stochastic process within a bounded region [ 56 ].…”

Section: Methodsmentioning

confidence: 99%

“…Furthermore, when analysing a point pattern it may be relevant to assess whether the points show independence from each other or some kind of interpoint dependence occurs ( Second Order Properties ) [ 57 ]. The effects of point process intensity ( First Order Properties ) and spatial interaction ( Second Order Properties ) can be hardly distinguishable, although the latter is often recognised at small scale, whereas large-scale variations are usually associated with the non-stationary intensity of underlying processes [ 52 ].…”

Section: Methodsmentioning

confidence: 99%

“…settlements [51,52] and monuments patterns [53][54][55]. A point pattern corresponds to a set of locations of spatial events generated by a stochastic process within a bounded region [56].…”

Section: Plos Onementioning

confidence: 99%

“…scale variations are usually associated with the non-stationary intensity of underlying processes [52].…”

Section: Plos Onementioning

confidence: 99%

See 3 more Smart Citations

Creating the funerary landscape of Eastern Sudan

et al. 2021

Self Cite

View full text Add to dashboard Cite

Funerary landscapes are eminent results of the relationship between environments and superstructural human behavior, spanning over wide territories and growing over centuries. The comprehension of such cultural palimpsests needs substantial research efforts in the field of human ecology. The funerary landscape of the semi-arid region of Kassala (Eastern Sudan) represents a solid example. Therein, geoarchaeological surveys and the creation of a desk-based dataset of thousands of diachronic funerary monuments (from early tumuli up to modern Beja people islamic tombs) were achieved by means of fieldwork and remote sensing over an area of ∼4100 km2. The wealth of generated information was employed to decipher the spatial arrangement of sites and monuments using Point Pattern Analysis. The enormous number of monuments and their spatial distribution are here successfully explained using, for the first time in archaeology, the Neyman-Scott Cluster Process, hitherto designed for cosmology. Our study highlights the existence of a built funerary landscape with galaxy-like aggregations of monuments driven by multiple layers of societal behavior. We suggest that the distribution of monuments was controlled by a synthesis of opportunistic geological constraints and cultural superstructure, conditioned by the social memory of the Beja people who have inhabited the region for two thousand years and still cherish the ancient tombs as their own kin’s.

show abstract

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

See 2 more Smart Citations

Creating the funerary landscape of Eastern Sudan

et al. 2021

Self Cite

View full text Add to dashboard Cite

show abstract

“…Evidence for any of the models can be evaluated based on the statistical significance of model terms, and where applicable incorporating prior knowledge in a Bayesian framework (Korup, 2020). Although inferring mechanisms from point patterns by this approach might appear straightforward at first glance, model fitting in point pattern analysis is often challenging (Brandolini & Carrer, 2020).…”

Section: Spatial Point Processesmentioning

confidence: 99%

A systematic approach and software for the analysis of point patterns on river networks

Schwanghart¹,

Molkenthin²,

Scherler³

2020

Preprint

View full text Add to dashboard Cite

Many geomorphic phenomena such as bank failures, landslide dams, riffle-pool sequences and knickpoints can be modelled as spatial point processes. However, as the locations of these phenomena are constrained to lie on or alongside rivers, their analysis must account for the geometry and topology of river networks. Here, we introduce a new numeric class in TopoToolbox called Point Pattern on Stream networks (PPS), which supports exploratory analysis, statistical modelling, simulation and visualization of point processes. We present two case studies that aim at inferring processes and factors that control the spatial density of geomorphic phenomena along river networks: the analysis of knickpoints in river profiles, and modelling spatial locations of beaver dams based on topographic metrics. The case studies rely on exploratory analysis and statistical inference using inhomogeneous Poisson point processes. Thereby, statistical and probabilistic procedures implemented in PPS provide a systematic approach for treating of uncertainties. PPS provides a consistent numeric framework for modelling point processes on river networks with a wide range of applications in fluvial geomorphology, but also other disciplines such as ecology.

show abstract

A systematic approach and software for the analysis of point patterns on river networks

Schwanghart

Molkenthin

Scherler

2021

Earth Surf Processes Landf

View full text Add to dashboard Cite

Many geomorphic phenomena such as bank failures, landslide dams, riffle‐pool sequences and knickpoints can be modelled as spatial point processes. However, as the locations of these phenomena are constrained to lie on or alongside rivers, their analysis must account for the geometry and topology of river networks. Here, we introduce a new numeric class in TopoToolbox called Point Pattern on Stream networks (PPS), which supports exploratory analysis, statistical modelling, simulation and visualization of point processes. We present three case studies that aim at inferring processes and factors that control the spatial density of geomorphic phenomena along river networks: analysis of a synthetic dataset of points on a stream network, the analysis of knickpoints in river profiles, and modelling spatial locations of beaver dams based on topographic metrics. The case studies rely on exploratory analysis and statistical inference using inhomogeneous Poisson point processes. Thereby, statistical and probabilistic procedures implemented in PPS provide a systematic approach for treating and quantifying uncertainties. PPS offers a consistent numeric framework for modelling point processes on river networks with a wide range of applications in fluvial geomorphology, but also other disciplines such as ecology.

show abstract

Terra, Silva et Paludes. Assessing the Role of Alluvial Geomorphology for Late-Holocene Settlement Strategies (Po Plain – N Italy) Through Point Pattern Analysis

Cited by 28 publications

References 59 publications

Creating the funerary landscape of Eastern Sudan

Creating the funerary landscape of Eastern Sudan

A systematic approach and software for the analysis of point patterns on river networks

A systematic approach and software for the analysis of point patterns on river networks

Contact Info

Product

Resources

About