论文标题
乌拉圭弱势区域的土地使用/土地覆盖动态，该方法结合了最大熵和人口动态的方法
Land use/land cover dynamics on vulnerable regions in Uruguay approached by a method combining Maximum Entropy and Population Dynamics
论文作者
论文摘要
我们提出了一种探索性种群动态方法，该方法由Lotka-Volterra（LV）广义方程式描述，以解释/预测乌拉圭脆弱区域的土地利用/土地覆盖（LULC）类之间的动态和竞争。我们使用2000年至2019年的20个年度LULC地图组成的Mapbiomas-Pampa数据集。从这些LULC地图中，我们提取了主要的LULC类，它们的空间分布以及每个类别涵盖的区域的时间序列。物种之间的相互作用系数是通过在不同训练期的空间协方差矩阵中通过成对最大熵（PME）方法推断出来的。主要发现是，这种LVPME方法在全球范围内胜过更传统的马尔可夫链方法，可以预测LULC类别的轨迹。
We present an exploratory population dynamics approach, described by Lotka-Volterra (LV) generalized equations, to explain/predict the dynamics and competition between land use/land cover (LULC) classes over vulnerable regions in Uruguay. We use the Mapbiomas-Pampa dataset composed by 20 annual LULC maps from 2000-2019. From these LULC maps we extract the main LULC classes, their spatial distribution and the time series of areas covered for each class. The interaction coefficients between species are inferred through the pairwise maximum entropy (PME) method from the spatial covariance matrices for different training periods. The main finding is that this LVPME method globally outperforms the more traditional Markov chains approach at predicting the trajectories of areas of LULC classes.
