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@@ -189,6 +189,16 @@ <h3 class="major">Carbon Emission Pattern</h3>
 								spatial distribution of carbon in 54 African countries.</p>
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+							<h3 class="major">South Australian Wheat Production: Trend and Pattern</h3>
+							<p>The aim of this study is to employ the space-time pattern mining tools and techniques to derive an improved insight into the spatiotemporal pattern/trend of whield productivity in South Australia. 
+								To achieve this, Emerging hotspot analysis was employed to identify the trends in the clustering of wheat yield in space-time cube based on Getis-Ord Gi* statistic and the Mann-Kendall trend test. 
+								Then, local outlier analysis was used to identify significant clusters of high and low values and anomalous whose values are extremely different from spatial-temporal related neighbors based on Anselin’s Local Moran’s I statistics. 
+								Finally, time-series clustering was used to determine and partitions the locations with similar characteristics into distinct clusters. 3D visualization of these analysis was created to improve the visual perspective..</p>
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 							<h3 class="major">Modelling sea level: Review</h3>