Social simulation modelling within landscape systems
31 mins 55 secs,
70.60 MB,
WebM
640x360,
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44100 Hz,
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About this item
| Description: |
Polhill, G
Wednesday 9th September 2020 - 11:00 to 11:30 |
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| Created: | 2020-09-10 19:34 |
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| Collection: | Mathematical and statistical challenges in landscape decision making |
| Publisher: | Isaac Newton Institute |
| Copyright: | Polhill, G |
| Language: | eng (English) |
| Distribution: |
World
(downloadable)
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| Explicit content: | No |
| Aspect Ratio: | 16:9 |
| Screencast: | No |
| Bumper: | UCS Default |
| Trailer: | UCS Default |
| Abstract: | Agent-based social simulation entails the explicit, individual representation of various actors within the landscape, and the ways they affect each other. It offers a natural and powerful way to model human social systems and integrate with spatially-explicit biophysical and ecological models. In this talk, I will present an example from my own work with Alessandro Gimona and Nick Gotts (The James Hutton Institute) and Andrew Jarvis (Lancaster Environment Centre) on simulating the incentivization of biodiversity in agriculture. The talk will briefly cover some of the risks associated with coupling models to simulate landscape systems, emphasizing the importance of semantic interoperability. |
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| MPEG-4 Video | 640x360 | 572.89 kbits/sec | 133.85 MB | View | Download | |
| WebM * | 640x360 | 302.03 kbits/sec | 70.60 MB | View | Download | |
| iPod Video | 480x270 | 480.9 kbits/sec | 112.36 MB | View | Download | |
| MP3 | 44100 Hz | 249.76 kbits/sec | 58.42 MB | Listen | Download | |
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