Prehistoric human migrations: a prospective subject for modelling using geographical information systems
Researchers in many fields have discovered the advantage of using geographical information systems (GIS), spatial statistics and computer modelling, but these techniques are only sparingly applied in archaeological research. Writing 30 years ago, Castleford (1992) noted the considerable potential of...
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Published in | Geospatial health Vol. 18; no. 1 |
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Main Author | |
Format | Journal Article |
Language | English |
Published |
Italy
PAGEPress Publications
25.05.2023
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Online Access | Get full text |
ISSN | 1827-1987 1970-7096 1970-7096 |
DOI | 10.4081/gh.2023.1210 |
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Abstract | Researchers in many fields have discovered the advantage of using geographical information systems (GIS), spatial statistics and computer modelling, but these techniques are only sparingly applied in archaeological research. Writing 30 years ago, Castleford (1992) noted the considerable potential of GIS, but he also felt that its then atemporal structure was a serious flaw. It is clear that the study of dynamic processes suffers if past events cannot be linked to each other, or to the present, but today’s powerful tools have overcome this drawback. Importantly, with location and time as key indices, hypotheses about early human population dynamics can be tested and visualized in ways that can potentially reveal hidden relationships and patterns. [...] |
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AbstractList | Researchers in many fields have discovered the advantage of using geographical information systems (GIS), spatial statistics and computer modelling, but these techniques are only sparingly applied in archaeological research. Writing 30 years ago, Castleford (1992) noted the considerable potential of GIS, but he also felt that its then atemporal structure was a serious flaw. It is clear that the study of dynamic processes suffers if past events cannot be linked to each other, or to the present, but today’s powerful tools have overcome this drawback. Importantly, with location and time as key indices, hypotheses about early human population dynamics can be tested and visualized in ways that can potentially reveal hidden relationships and patterns. [...] Researchers in many fields have discovered the advantage of using geographical information systems (GIS), spatial statistics and computer modelling, but these techniques are only sparingly applied in archaeological research. Writing 30 years ago, Castleford (1992) noted the considerable potential of GIS, but he also felt that its then atemporal structure was a serious flaw. It is clear that the study of dynamic processes suffers if past events cannot be linked to each other, or to the present, but today's powerful tools have overcome this drawback. Importantly, with location and time as key indices, hypotheses about early human population dynamics can be tested and visualized in ways that can potentially reveal hidden relationships and patterns. [...].Researchers in many fields have discovered the advantage of using geographical information systems (GIS), spatial statistics and computer modelling, but these techniques are only sparingly applied in archaeological research. Writing 30 years ago, Castleford (1992) noted the considerable potential of GIS, but he also felt that its then atemporal structure was a serious flaw. It is clear that the study of dynamic processes suffers if past events cannot be linked to each other, or to the present, but today's powerful tools have overcome this drawback. Importantly, with location and time as key indices, hypotheses about early human population dynamics can be tested and visualized in ways that can potentially reveal hidden relationships and patterns. [...]. Researchers in many fields have discovered the advantage of using geographical information systems (GIS), spatial statistics and computer modelling, but these techniques are only sparingly applied in archaeological research. Writing 30 years ago, Castleford (1992) noted the considerable potential of GIS, but he also felt that its then atemporal structure was a serious flaw. It is clear that the study of dymic processes suffers if past events cannot be linked to each other, or to the present, but today’s powerful tools have overcome this drawback. Importantly, with location and time as key indices, hypotheses about early human population dymics can be tested and visualized in ways that can potentially reveal hidden relationships and patterns. [...] |
Author | Bergquist, Robert |
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Cites_doi | 10.1038/s41598-021-84805-6 10.1038/s41559-019-0871-9 10.1038/s41598-022-23206-9 10.58323/insi.v7.13429 10.1371/journal.pbio.2003703 10.1016/j.jas.2010.01.008 10.1016/j.quaint.2018.05.038 10.1002/evan.21484 10.1073/pnas.2208738120 10.1130/G39457.1 10.1038/nature.2016.19394 10.1093/molbev/msr245 10.1038/s43247-021-00195-7 |
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