Method for evaluating habitat suitability of dracaena desert locust based on MaxEnt and space-time cube

The invention relates to a dracaena desert locust habitat suitability evaluation method based on MaxEnt and a space-time cube. The method comprises the following steps: acquiring multi-source data; preprocessing the multi-source data; screening habitat factors; a MaxEnt model with the optimal parame...

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Bibliographische Detailangaben
Hauptverfasser:	DONG YINGYING, LU QIBAO, ZHANG HANSU, HUANG LINSHENG, HUANG WENJIANG, RUAN CHAO, KONG FANCHU, SHANG JUNCHENG, ZHAO JINLING
Format:	Patent
Sprache:	chi ; eng
Schlagworte:	ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVEREDIN A SINGLE OTHER SUBCLASS CALCULATING COMPUTING COUNTING DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES ELECTRIC DIGITAL DATA PROCESSING MEASURING MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR PHYSICS SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR TARIFF METERING APPARATUS TESTING
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Beschreibung
Zusammenfassung:	The invention relates to a dracaena desert locust habitat suitability evaluation method based on MaxEnt and a space-time cube. The method comprises the following steps: acquiring multi-source data; preprocessing the multi-source data; screening habitat factors; a MaxEnt model with the optimal parameters is obtained, the MaxEnt model with the optimal parameters is trained, and the annual habitat suitability result of the dracaena desert locusts is obtained; constructing a space-time cube; carrying out space-time integrated analysis; and grading the suitability of the dracaena desert locust according to a space-time integrated analysis result. According to the method, the ecological niche conditions are comprehensively evaluated, and the MaxEnt model is beneficial to comprehensively considering the ecological niche conditions of the dracaena desert locusts; a potential suitable area is predicted, space-time changes are considered, and the space-time cube method allows the desert locust habitat suitability chang