FAN Model Dataset
| Main Author: | Fernandez-Mena, Hugo |
|---|---|
| Format: | Dataset |
| Terbitan: |
Mendeley
, 2017
|
| Subjects: | |
| Online Access: |
https:/data.mendeley.com/datasets/sytdc5yscj |
| ctrlnum |
0.17632-sytdc5yscj.1 |
|---|---|
| fullrecord |
<?xml version="1.0"?>
<dc><creator>Fernandez-Mena, Hugo</creator><title>FAN Model Dataset</title><publisher>Mendeley</publisher><description>To run FAN (Flows in Agricultural Networks) model, first you have to download GAMA 1.7 RC software for agent-based modelling from the open source platform : http://gama-platform.org/
Start GAMA and create a new project (called FAN_in_Riberacois, for instance), then copy all the files in the "includes" folder, except the FAN_Script.gaml that should go into the "models" folder. This model will run FAN in Riberacois case-study.
</description><subject>Agricultural Science</subject><subject>Water Management</subject><subject>Agent-Based Modeling</subject><type>Other:Dataset</type><identifier>10.17632/sytdc5yscj.1</identifier><rights>Creative Commons Attribution 4.0 International</rights><rights>http://creativecommons.org/licenses/by/4.0</rights><relation>https:/data.mendeley.com/datasets/sytdc5yscj</relation><date>2017-12-12T11:09:56Z</date><recordID>0.17632-sytdc5yscj.1</recordID></dc>
|
| format |
Other:Dataset Other |
| author |
Fernandez-Mena, Hugo |
| title |
FAN Model Dataset |
| publisher |
Mendeley |
| publishDate |
2017 |
| topic |
Agricultural Science Water Management Agent-Based Modeling |
| url |
https:/data.mendeley.com/datasets/sytdc5yscj |
| contents |
To run FAN (Flows in Agricultural Networks) model, first you have to download GAMA 1.7 RC software for agent-based modelling from the open source platform : http://gama-platform.org/
Start GAMA and create a new project (called FAN_in_Riberacois, for instance), then copy all the files in the "includes" folder, except the FAN_Script.gaml that should go into the "models" folder. This model will run FAN in Riberacois case-study.
|
| id |
IOS7969.0.17632-sytdc5yscj.1 |
| institution |
Universitas Islam Indragiri |
| affiliation |
onesearch.perpusnas.go.id |
| institution_id |
804 |
| institution_type |
library:university library |
| library |
Teknologi Pangan UNISI |
| library_id |
2816 |
| collection |
Artikel mulono |
| repository_id |
7969 |
| city |
INDRAGIRI HILIR |
| province |
RIAU |
| shared_to_ipusnas_str |
1 |
| repoId |
IOS7969 |
| first_indexed |
2020-04-08T08:13:09Z |
| last_indexed |
2020-04-08T08:13:09Z |
| recordtype |
dc |
| _version_ |
1686587398392119296 |
| score |
17.538404 |