Spatial Autocorrelation in Econometric Land Use Models: An Overview

Chakir, Raja; Gallo, Julie Le

doi:10.1007/978-3-030-73249-3_18

Cited by 2 publications

(2 citation statements)

References 90 publications

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“…Econometric land use model Most econometric land use models are explanatory models, seeking to estimate statistically the drivers of land use allocation. These models target decisionsupport, for example by simulating the impact of public policies (pasture subsidy, deforestation tax) or climate change scenarios on land use allocation (Chakir and Le Gallo, 2021). The econometric land use model used in this paper was first developed at the French level by Chakir and Lungarska (2017) and then extended to the EU level in .…”

Section: Economic Modelsmentioning

confidence: 99%

Food, climate and biodiversity: a trilemma of mineral nitrogen use in European agriculture

Prudhomme

Chakir

Lungarska

et al. 2022

Rev Agric Food Environ Stud

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Mineral nitrogen (N) application in agriculture has significantly increased food production over the past century. However, the intensive use of N-fertilizers also impacts negatively the environment, notably through greenhouse gas emissions and biodiversity loss and remains a major challenge for policymakers. In this paper, we explore the effects of a public policy aiming at halving agricultural mineral nitrogen use across the European Union (EU). We investigate the impacts on food security, climate mitigation, and biodiversity conservation and we analyse the potential trade-offs and synergies between them. Despite the uncertainties associated with monetary valuation and the choice of modeling approach, our results show that climate-and-biodiversity-related benefits of halving N use in EU agriculture more than offset the decrease in agricultural benefits.

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Section: Economic Modelsmentioning

confidence: 99%

Food, climate and biodiversity: a trilemma of mineral nitrogen use in European agriculture

Prudhomme

Chakir

Lungarska

et al. 2022

Rev Agric Food Environ Stud

Self Cite

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“…To perform these calculations, the "focal statistics tools" available in ArcGIS 10 software were utilized. The approach employed the ArcPy technique, incorporating a series of kernel files that consider local shapes and weights in addition to the scale [48][49][50][51][52]. The tool executes a neighborhood operation, where the value of each output cell is determined by the values of all the input cells within a specified neighborhood [53][54][55][56].…”

mentioning

confidence: 99%

A Computational Geospatial Approach to Assessing Land-Use Compatibility in Urban Planning

Mansourihanis,

Maghsoodi Tilaki,

Yousefian

et al. 2023

Land

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Amidst rapid urbanization, sustainable development requires moving beyond subjective land-use planning techniques toward innovative computational geospatial models. This paper introduces a GIS-based quantitative framework to enable objective, rigorous land-use compatibility analysis. Uniquely, the model evaluates radial impacts and expert-defined criteria across multiple scales, overcoming the limitations of qualitative approaches. Cell-by-cell computation identifies emerging spatial conflicts with enhanced realism. A case study in Qaemshahr, Iran, demonstrated the model’s proficiency in revealing incompatibilities and hotspots, surpassing conventional methodologies. Quantitative analysis provided accurate, transparent insights for evidence-based planning and consistency in evaluation. Ongoing improvements through 3D, real-time data integration and machine learning will further the objectivity. While extensive testing across diverse urban contexts is still needed, this pioneering computational technique marks a transition from subjective to objective methodologies. Situated at the intersection of geographic information science and urban planning, this study serves as a launchpad for advancing robust geospatial models to shape more equitable, resilient urban futures amidst complex sustainability challenges. The development of rigorous computational techniques remains fundamental, and the present innovative model can be used to provide objective, scientifically grounded compatibility analyses to guide land-use planning.

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Spatial Autocorrelation in Econometric Land Use Models: An Overview

Cited by 2 publications

References 90 publications

Food, climate and biodiversity: a trilemma of mineral nitrogen use in European agriculture

Food, climate and biodiversity: a trilemma of mineral nitrogen use in European agriculture

A Computational Geospatial Approach to Assessing Land-Use Compatibility in Urban Planning

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