The Tile-Based Mapping Transition in Cartography

Peterson, Michael P.

doi:10.1007/978-3-642-19522-8_13

Cited by 6 publications

(3 citation statements)

References 3 publications

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“…Less common tile sizes of 64 × 64 and 512 × 512 pixels are also in use [1]. Peterson [19] estimated the average memory requirement to store a single map tile of 256 × 256 pixels at 15 kB. The total number of tiles using 20 zoom levels is about one trillion, which is approximately 20,480 TB of data [6].…”

Section: Raster Tilesmentioning

confidence: 99%

Performance Testing on Vector vs. Raster Map Tiles—Comparative Study on Load Metrics

Nétek

Masopust

Pavlicek

et al. 2020

IJGI

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Recent developments in web map applications have widely affected how background maps are rendered. Raster tiles are currently considered as a regular solution, while the use of vector tiles is becoming more widespread. This article describes an experiment to test both raster and vector tile methods. The concept behind raster tiles is based on pre-generating an original dataset including a customized symbology and style. All tiles are generated according to a standardized scheme. This method has a few disadvantages: if any change in the dataset is required, the entire tile-generating process must be redone. Vector tiles manipulate vector objects. Only vector geometry is stored on the server, while symbology, rendering, and defining zoom levels run on the client-side. This method simplifies changing symbology or topology. Based on eight pilot studies, performance testing on loading time, data size, and the number of requests were performed. The observed results provide a comprehensive comparison according to specific interactions. More data, but only one or two tiles, were downloaded for vector tiles in zoom and move interactions, while 40 tiles were downloaded for raster tiles for the same interactions. Generally, the WebP format downloaded about three times fewer data than Portable Network Graphics (PNG).

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Section: Raster Tilesmentioning

confidence: 99%

Performance Testing on Vector vs. Raster Map Tiles—Comparative Study on Load Metrics

Nétek

Masopust

Pavlicek

et al. 2020

IJGI

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“…Meanwhile, the tile pyramid technique has been increasingly adopted for various web maps for its advantages of storage and fast transmission speed [8][9][10]. The tile map is effectively represented by several small images of the same size (usually 256 × 256 pixels) seamlessly stitched following defined rules [11]. When panning or zooming, it is accessed and displayed on the web per the pyramid rules, and it can usually be categorized into raster and vector tiles [12].…”

Section: Introductionmentioning

confidence: 99%

Inconsistency Detection in Cross-Layer Tile Maps with Super-Pixel Segmentation

et al. 2023

IJGI

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The consistency of geospatial data is of great significance for the application and updating of geographic information in web maps. Due to the multiple data sources and different temporal versions, the tile web maps usually meet the inconsistency question across different layers. This study tries to develop a method to detect this kind of inconsistency utilizing a raster-based scaling approach. Compared with vector-based handling, this method can be directly available for multi-level tile images in a pixel representation form. The proposed cross-layer raster tile map rendering method (CRTMRM) consists of four primary aspects: geographic object separation, consistency rendering rules, data scaling and derivation with super-pixel segmentation, and inconsistency detection. The scale transformation strategy with the super-pixel attempts to obtain a simplified representation. Taking the scale lifespan variation and geometric consistency rules into account, the inconsistency detection of tile maps is conducted between temporal versions, multi-sources, and different scales through actual and derived data overlay analysis. The experiment focuses on features of cross-layer water or vegetation areas with Level 9 to Level 14 in Baidu Maps, Amap, and Google Maps. This method is able to serve as a basis for massive unstructured web map data inconsistency detection and support intelligent web map rendering.

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“…Up to now, Web 2.0 technologies, especially the Ajax technologies, have been fruitfully applied into various human computer interaction portals, such as Google Maps and Gmail. The application of Ajax makes asynchronous transmission possible in the Internet, which avoids refreshing the entire page repeatedly . By utilizing the cache technique in the browser as well as the separations of the Ajax engineer and sever, users can go on their operations without waiting, and the UE could be significantly improved.…”

Section: Introductionmentioning

confidence: 99%

A Web 2.0‐based science gateway for massive remote sensing image processing

Miao

Wang

et al. 2013

Concurrency and Computation

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Summary With the incessant expansion of applications and the frequent update of the software, Science Gateway for Massive Remote Sensing Image Processing (SGMRSIP), developed by client/server model or traditional browser/server model, has received more and more challenges. Fortunately, the Web 2.0 technologies, proposed in recent years, bring us a new user experience (UE) that has a fast response speed and a good interface. In particular, the remote sensing image can be processed smoothly in the absence of client software by Web 2.0 technologies. Hence, a Web 2.0‐based browser/server model is designed for SGMRSIP to enhance the UE in this paper. Firstly, functions of a parallel remote sensing image processing portal, based on high performance cluster and client/server model, are summarized. And then, a Web 2.0‐based interaction model is built, and all these functions are accomplished again on the basis of this model. Finally, the Web 2.0‐based Science Gateway is achieved. In addition, we design different workflows for different satellite data, and all the processing tasks are finished successfully to verify the feasibility of this Science Gateway. The experimental results showed that the software scalability and interaction were improved and a better UE was achieved, compared with the existing SGMRSIP. Copyright © 2013 John Wiley & Sons, Ltd.

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The Tile-Based Mapping Transition in Cartography

Cited by 6 publications

References 3 publications

Performance Testing on Vector vs. Raster Map Tiles—Comparative Study on Load Metrics

Performance Testing on Vector vs. Raster Map Tiles—Comparative Study on Load Metrics

Inconsistency Detection in Cross-Layer Tile Maps with Super-Pixel Segmentation

A Web 2.0‐based science gateway for massive remote sensing image processing

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