Quantum machine learning in spatial analysis: a paradigm shift in resource allocation and environmental modeling

IF 1.8 Q2 GEOGRAPHY

Letters in Spatial and Resource Sciences Pub Date : 2024-03-15 DOI:10.1007/s12076-024-00374-y

Eric Vaz

引用次数: 0

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空间分析中的量子机器学习：资源分配和环境建模的范式转变

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Letters in Spatial and Resource Sciences GEOGRAPHY-

CiteScore

2.30

自引率

11.10%

发文量

期刊介绍： Letters in Spatial and Resource Sciences (LSRS) publishes high-quality, shorter papers on new theoretical or empirical results and on models and methods in the social sciences that contain a spatial dimension. Coverage includes environmental and resource economics, regional and urban economics, spatial econometrics, regional science, geography, demography, agricultural economics, GIS and city and regional planning. Examples of topics include, but are not limited to, environmental damage, urbanization, resource allocation, spatial-temporal data use, regional economic development and the application of existing and new methodologies.LSRS contributes to the communication of theories and methodologies across disciplinary borders. It offers quick dissemination and easy accessibility of new results. Officially cited as: Lett Spat Resour Sci

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