Cartographica extraordinaire2/28/2023 Based on this approach and taking into account the technological advances, the authors describe which part of BD can be utilized for new mapping products and services. The primary purpose of the cartographic approach is to maximize the value of a user-oriented map rendering of the web map content. The recent development of GIS and web technologies have expanded and empowered cartography by providing actual, steadily growing and complex data and information, increasing the spatial and thematic accuracy of the contemporary maps. In cartography, the term "Big Data" (BD) has been started to use in the last decade. This paper investigates the potential of the representation framework by building and describing a set of representation rules and geoprocessing models that experiment with traditional cartographic depictions that have proven difficult to automate in the past. The intelligent combination of the components of the representation framework can result in intricate and insightful database cartography. The new framework offers geoprocessing tools that can automate aspects of symbolization and detect areas where symbols overlap even when the spatial geometry does not. Geometric effects within rules can dynamically alter spatial geometry before symbology is applied, and values within the feature class table can define symbol properties to customize the appearance of features. Symbology is applied intelligently to spatial features through powerful representation rules to achieve complex depictions. To address this, ArcGIS 9.2 introduces a rule-based way to store cartographic symbology alongside spatial data within a geodatabase. The convenience of database-driven cartography has traditionally been offset by the design limitations of automated symbology.
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