scholarly journals MEASURE OF LANDSCAPE HETEROGENEITY BY AGENT-BASED METHODOLOGY

2016 ◽  
Vol III-8 ◽  
pp. 145-151
Author(s):  
E. Wirth ◽  
Gy. Szabó ◽  
A. Czinkóczky
Keyword(s):  
Dynamic Method ◽  
Landscape Heterogeneity ◽  
Key Factors ◽  
Statistical Parameters ◽  
Agent Based ◽  
Agent Based Modelling ◽  
Potential Map ◽  
New Type ◽  
Agricultural Diversity ◽  
The Eu

With the rapid increase of the world's population, the efficient food production is one of the key factors of the human survival. Since biodiversity and heterogeneity is the basis of the sustainable agriculture, the authors tried to measure the heterogeneity of a chosen landscape. The EU farming and subsidizing policies (EEA, 2014) support landscape heterogeneity and diversity, nevertheless exact measurements and calculations apart from statistical parameters (standard deviation, mean), do not really exist. In the present paper the authors’ goal is to find an objective, dynamic method that measures landscape heterogeneity. It is achieved with the so called agent-based modelling, where randomly dispatched dynamic scouts record the observed land cover parameters and sum up the features of a new type of land. During the simulation the agents collect a Monte Carlo integral as a diversity landscape potential which can be considered as the unit of the ‘greening’ measure. As a final product of the ABM method, a landscape potential map is obtained that can serve as a tool for objective decision making to support agricultural diversity.

scholarly journals MEASURE OF LANDSCAPE HETEROGENEITY BY AGENT-BASED METHODOLOGY

2016 ◽  
Vol III-8 ◽  
pp. 145-151 ◽  
Author(s):  
E. Wirth ◽  
Gy. Szabó ◽  
A. Czinkóczky
Keyword(s):  
Dynamic Method ◽  
Landscape Heterogeneity ◽  
Key Factors ◽  
Statistical Parameters ◽  
Agent Based ◽  
Agent Based Modelling ◽  
Potential Map ◽  
New Type ◽  
Agricultural Diversity ◽  
The Eu

With the rapid increase of the world's population, the efficient food production is one of the key factors of the human survival. Since biodiversity and heterogeneity is the basis of the sustainable agriculture, the authors tried to measure the heterogeneity of a chosen landscape. The EU farming and subsidizing policies (EEA, 2014) support landscape heterogeneity and diversity, nevertheless exact measurements and calculations apart from statistical parameters (standard deviation, mean), do not really exist. In the present paper the authors’ goal is to find an objective, dynamic method that measures landscape heterogeneity. It is achieved with the so called agent-based modelling, where randomly dispatched dynamic scouts record the observed land cover parameters and sum up the features of a new type of land. During the simulation the agents collect a Monte Carlo integral as a diversity landscape potential which can be considered as the unit of the ‘greening’ measure. As a final product of the ABM method, a landscape potential map is obtained that can serve as a tool for objective decision making to support agricultural diversity.

scholarly journals MEASURE LANDSCAPE DIVERSITY WITH LOGICAL SCOUT AGENTS

2016 ◽  
Vol XLI-B2 ◽  
pp. 491-495 ◽  
Author(s):  
E. Wirth ◽  
G. Szabó ◽  
A. Czinkóczky
Keyword(s):  
Landscape Heterogeneity ◽  
Landscape Diversity ◽  
Territorial Development ◽  
Policy Makers ◽  
Agent Based ◽  
Potential Map ◽  
Climate Action ◽  
Quantitative Basis ◽  
Agricultural Policy Reform ◽  
The Eu

The Common Agricultural Policy reform of the EU focuses on three long-term objectives: viable food production, sustainable management of natural resources and climate action with balanced territorial development. To achieve these goals, the EU farming and subsidizing policies (EEA, 2014) support landscape heterogeneity and diversity. Current paper introduces an agent-based method to calculate the potential of landscape diversity. The method tries to catch the nature of heterogeneity using logic and modelling as opposed to the traditional statistical reasoning. The outlined Random Walk Scouting algorithm registers the land cover crossings of the scout agents to a Monte Carlo integral. The potential is proportional with the composition and the configuration (spatial character) of the landscape. Based on the measured points a potential map is derived to give an objective and quantitative basis to the stakeholders (policy makers, farmers).

scholarly journals MEASURE LANDSCAPE DIVERSITY WITH LOGICAL SCOUT AGENTS

2016 ◽  
Vol XLI-B2 ◽  
pp. 491-495
Author(s):  
E. Wirth ◽  
G. Szabó ◽  
A. Czinkóczky
Keyword(s):  
Landscape Heterogeneity ◽  
Landscape Diversity ◽  
Territorial Development ◽  
Policy Makers ◽  
Agent Based ◽  
Potential Map ◽  
Climate Action ◽  
Quantitative Basis ◽  
Agricultural Policy Reform ◽  
The Eu

The Common Agricultural Policy reform of the EU focuses on three long-term objectives: viable food production, sustainable management of natural resources and climate action with balanced territorial development. To achieve these goals, the EU farming and subsidizing policies (EEA, 2014) support landscape heterogeneity and diversity. Current paper introduces an agent-based method to calculate the potential of landscape diversity. The method tries to catch the nature of heterogeneity using logic and modelling as opposed to the traditional statistical reasoning. The outlined Random Walk Scouting algorithm registers the land cover crossings of the scout agents to a Monte Carlo integral. The potential is proportional with the composition and the configuration (spatial character) of the landscape. Based on the measured points a potential map is derived to give an objective and quantitative basis to the stakeholders (policy makers, farmers).

scholarly journals Agent-based Modelling and Simulation for Circular Business Model Experimentation

2021 ◽  
pp. 200055
Author(s):  
Kasper P.H. Lange ◽  
Gijsbert Korevaar ◽  
Inge F. Oskam ◽  
Igor Nikolic ◽  
Paulien M. Herder
Keyword(s):  
Business Model ◽  
Modelling And Simulation ◽  
Agent Based ◽  
Agent Based Modelling

scholarly journals Crisis and Intergovernmental Retrenchment in the European Union? Framing the EU’s Answer to the COVID-19 Pandemic

2020 ◽  
Author(s):  
Eugenio Salvati
Keyword(s):  
European Union ◽  
Institutional Capacity ◽  
Social Effects ◽  
Political Integration ◽  
The European Union ◽  
Key Factors ◽  
Core State ◽  
Eu Member States ◽  
Supranational Institutions ◽  
The Eu

AbstractThe outbreak of the COVID-19 pandemic has placed severe pressure on the EU’s capacity to provide a timely and coordinated response capable of curbing the pandemic’s disastrous economic and social effects on EU member states. In this situation, the supranational institutions and their models of action are evidently under pressure, seeming incapable of leading the EU out of the stormy waters of the present crisis. The article frames the first months of management of the COVID-19 crisis at EU level as characterised by the limited increase in the level of steering capacity by supranational institutions, due to the reaffirmed centrality of the intergovernmental option. To explain this situation, the article considers the absence of the institutional capacity/legitimacy to extract resources from society(ies), and the subsequent impossibility of guaranteeing an effective and autonomous process of political (re)distribution, the key factors accounting for the weakness of vertical political integration in the response to the COVID-19 challenge. This explains why during the COVID-19 crisis as well, the pattern followed by the EU is rather similar to past patterns, thus confirming that this has fed retrenchment aimed at the enforcement of the intergovernmental model and the defence of the most sensitive core state powers against inference from supranational EU institutions.

scholarly journals Skin Stem Cell Hypotheses and Long Term Clone Survival – Explored Using Agent-based Modelling

2013 ◽  
Vol 3 (1) ◽  
Author(s):  
X. Li ◽  
A. K. Upadhyay ◽  
A. J. Bullock ◽  
T. Dicolandrea ◽  
J. Xu ◽  
...  
Keyword(s):  
Stem Cell ◽  
Agent Based ◽  
Agent Based Modelling

scholarly journals Visualising Ostia’s Processional Landscape Through a Multi-Layered Computational Approach: Case Study of the Cult of the Magna Mater

2019 ◽  
Vol 5 (1) ◽  
pp. 444-467
Author(s):  
Katherine A. Crawford
Keyword(s):  
Network Analysis ◽  
Computational Approach ◽  
Urban Network ◽  
Agent Based ◽  
Agent Based Modelling ◽  
Existing Problems ◽  
Layered Approach ◽  
Religious Landscape ◽  
Insight Into

AbstractOstia, the ancient port of Rome, had a rich religious landscape. How processional rituals further contributed to this landscape, however, has seen little consideration. This is largely due to a lack of evidence that attests to the routes taken by processional rituals. The present study aims to address existing problems in studying processions by questioning what factors motivated processional movement routes. A novel computational approach that integrates GIS, urban network analysis, and agent-based modelling is introduced. This multi-layered approach is used to question how spectators served as attractors in the creation of a processional landscape using Ostia’s Campo della Magna Mater as a case study. The analysis of these results is subsequently used to gain new insight into how a greater processional landscape was created surrounding the sanctuary of the Magna Mater.

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