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In recent years, Geospatial Information Systems (GIS) have witnessed a significant shift towards smart spatial analytics, which involves the processing of large volumes of geographic data, known as big geographic data (Geodata Big). This processing and analysis enable the extraction of valuable information that can be utilized in decision-making processes. Smart maps, as geographic information platforms, play a crucial role in decision-making by providing data, statistics, and information about geographic features and phenomena. Three-dimensional maps offer the capability to visualize and analyze geographic and temporal data on Earth's surface or custom maps. They enable users to observe changes over time and create interactive visual tours that can be shared with others. The applications of smart maps are diverse and include surveillance, monitoring, navigation, and determining optimal routes to specific locations. Artificial-Geo intelligence (AI-Geo) applications have further enhanced GIS capabilities by utilizing intelligent models trained on various datasets. These models enable the identification and extraction of geographic phenomena from satellite imagery, aerial photographs, and other sources. AIGeo applications have found utility in numerous domains beyond mapping, providing valuable insights and facilitating decision-making processes. This abstract highlights the growing importance of smart spatial analytics in GIS, particularly through the use of smart maps and AI-Geo applications. By leveraging these technologies, organizations can harness the power of geospatial data to make informed decisions and gain deeper insights into geographic phenomena.
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Stored only when both papers are in the corpus — 5 citations exist upstream.
Papers that cite the same references — the relational fallback while embeddings are still backfilling.
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