Spatiotemporal analysis of long-term vegetation changes in New Zealand

<p dir="ltr">Conclusions</p><ul><li>Spatiotemporal analysis methods such as MK-TS, time-series hot spot analysis, and time-series clustering provide more meaningful and informative results.</li><li>The spatiotemporal statistical approach applied to remotely time-series data can be used to solve complex questions: quantifying the trend, pattern, and rate of vegetation dynamics; examining the spatial relationship between vegetation and environmental changes; predicting changes associated with environmental and climate change</li><li>Modern geospatial technologies (time-series big data, advanced spatial statistical analytics) will provide better management options for a sustainable future land use.</li></ul><p></p>