2020
DOI: 10.1080/00934690.2020.1714307
|View full text |Cite
|
Sign up to set email alerts
|

Big Archaeology: Horizons and Blindspots

Abstract: Big data have arrived in archaeology, in the form of both large-scale datasets themselves and in the analytics and approaches of data science. Aerial data collected from satellite-, airborne-and UAVmounted sensors have been particularly transformational, allowing us to capture more sites and features, over larger areas, at greater resolution, and in formerly inaccessible landscapes. However, these new means of collecting, processing, and visualizing datasets also present fresh challenges for archaeologists. Wh… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

0
21
0

Year Published

2020
2020
2023
2023

Publication Types

Select...
7
1

Relationship

0
8

Authors

Journals

citations
Cited by 33 publications
(21 citation statements)
references
References 54 publications
(36 reference statements)
0
21
0
Order By: Relevance
“…Many of these efforts have focused on detecting and extracting different types of features from bare-earth models (e.g., Casana 2014; Forest et al 2020; Howey et al 2016; Kokalj et al 2011; McCoy et al 2011; Sevara et al 2016; Quintus et al 2017). These new data, plus the tools to visualize them, changed the way we “see” the archaeological record (Huggett 2020; McCoy 2020a, 2020b; VanValkenburgh and Dufton 2020). In the next stages of the geospatial revolution in archaeology, we will need to find more ways to leverage our steady stream of different kinds of lidar data (McCoy 2017b), create more kinds of visualizations that are useful for archaeology, and carefully consider which remote-sensing techniques are appropriate for the goal of the project (Casana 2020).…”
Section: Discussionmentioning
confidence: 99%
“…Many of these efforts have focused on detecting and extracting different types of features from bare-earth models (e.g., Casana 2014; Forest et al 2020; Howey et al 2016; Kokalj et al 2011; McCoy et al 2011; Sevara et al 2016; Quintus et al 2017). These new data, plus the tools to visualize them, changed the way we “see” the archaeological record (Huggett 2020; McCoy 2020a, 2020b; VanValkenburgh and Dufton 2020). In the next stages of the geospatial revolution in archaeology, we will need to find more ways to leverage our steady stream of different kinds of lidar data (McCoy 2017b), create more kinds of visualizations that are useful for archaeology, and carefully consider which remote-sensing techniques are appropriate for the goal of the project (Casana 2020).…”
Section: Discussionmentioning
confidence: 99%
“…Recently, a “third science revolution in archaeology” was declared “as part of a larger shift from postmodernity to a revised modernity” facilitated by technological advances in the biological and computer sciences (Kristiansen 2014, 23). This new modern archaeology includes the application of “Big Data” projects (e.g., Bevan 2015; McCoy 2017; VanValkenburgh and Dufton 2020), digital recording devices and software (e.g., Hill et al. 2019; McCuistion, Brown, and Harpole 2019), and digital heritage resources (e.g., Perry 2019; Watrall 2019); expanded remote‐sensing capabilities and crowdsourced data collection (e.g., Álvarez Larrain and McCall 2019; Luo et al.…”
Section: Transhuman Technologiesmentioning
confidence: 99%
“…Recently, a lot of attention has been focussed on ethics in relation to big data (e.g., Howey et al, 2020;VanValkenburg & Dufton, 2020), particularly for collecting and maintaining large datasets. Specific concerns have also been raised about how archaeologists collect, use, reproduce and store LiDAR data (Cohen et al, 2020;Fernandez-Diaz et al, 2018;Fernandez-Diaz & Cohen, 2020).…”
Section: Remote Sensing Ethics In Archaeologymentioning
confidence: 99%