The robustness of the CA–Markov model was confirmed based on the predictive accuracy obtained for the three experimental groups. Subsequently, the forecast data were imported into ArcGIS Pro for comparative spatial accuracy analysis. Table 2 Three sets of experiments to verify the model’s ability....
In this article, LUCC data derived from China's current land use datasets in 1990 and 2000 were studied using ArcGIS and IDRISI to make clear land use structures; CA-Markov model was used to simulate and predict its temporal and spatial change rules and driving factors of DEM, slope, ...
摘要 研究城市内公园绿地的土地利用变化,对于日后城市公园的发展及改造、城市的经济发展、空间安排都具有一定的参考意义。以武汉市江岸区为研究对象,运用ArcGIS对Landsat 2005年、2010年、2015年和2020年4期...展开更多 This paper focuses on the land use change of parks and green spaces in the city,which ...
Distributions of RSEI in Yining City from 2006 to 2021 通过ArcGIS和Excel将2006—2021年4期RSEI各等级面积进行提取并计算(表4)。由表4可看出2006—2021年伊宁市生态环境质量等级为好的区域面积减少了9.27 km2,占总面积1.37%,保持相对稳定;较好区域面积减少31.47 km2,占总面积4.67%;中等区域的面积保持相对稳定,...
基于CA-Markov和InVEST模型的土地利用格局与生境质量时空演变及预测——以江西省南昌市为例 第29卷第2期2022年4月水土保持研究R e s e a r c ho f S o i l a n d W a t e rC o n s e r v a t i o n V o l .29,N o .2A p r .,2022 收稿日期:2021-05-13 修回日期:202...
Markov模型长期预测的优势,通过CAMarkov模型对土地利用研究,已被广泛探讨和应用,且在分析和 模拟土地利用变化方面都取得了良好的效果 [11-15] .上海市闵行区近3次人口普查都呈现人口翻番的状 态,城市化速度惊人,因此,利用遥感数据,结合ARCGIS和IDRISI,对闵行区土地利用格局进行模拟和 ...
in were analyzed by using ArcGIS sof tware spatial analysis . The CA -Markov model is used to study the land use change in 2009 -2015 . The CA -Markov model was used to study the land use change in the basin from 2009 to 20 15...
基于改进Markov-CA模型的黄土高原土地利用多情景模拟
The simulating method can be divided into two parts: one is a quantitative forecast by using the Markov model, and the other is simulating the spatial pattern changes by using the CA model. The above two models construct the simulative model of the spatial pattern of land use in towns and...
术和Markov—CA模型,在不同影响因素条件下,对互花米草(Spartinaaherniflora)扩张进行模拟,辨识互花米草扩张 影响因素及其强度。结果显示:(1)1991- 1997和1997-2007年2个时段互花米草实际年均扩张率分别为 24.39%和7.76%,表明1991- 1997年互花米草迅速扩张,2007年之后扩张有减缓趋势。(2)在海岸带互花米草 ...