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Autonavi Software Co Ltd autonavi maps api
Autonavi Maps Api, supplied by Autonavi Software Co Ltd, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/api+software/autonavi+maps+api/pmc10680437-85-4-3
Average 90 stars, based on 1 article reviews
autonavi maps api - by Bioz Stars, 2026-09
90/100 stars

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Article Title: A Real-Time Recognition System of Driving Propensity Based on AutoNavi Navigation Data
Article Snippet: Based on the Android development platform and AutoNavi Map SDK and API, a driving propensity identification system application is developed in this paper, which realizes the real-time collection, processing and storage of the driver’s dynamic data propensity identification features.

Article Title: The Short‐Term Effects and Burden of Ambient Air Pollution on Hospitalization for Type 2 Diabetes: Time‐Stratified Case‐Crossover Evidence From Sichuan, China
Article Snippet: In addition, the AutoNavi Maps API ( https://lbs.amap.com/ ) were involved to geocode the locations of all T2DM cases and monitoring stations.

Article Title: The short-term effects and burden of particle air pollution on hospitalization for coronary heart disease: a time-stratified case-crossover study in Sichuan, China
Article Snippet: More specifically, the locations of all CHD cases and monitoring stations were geocode using AutoNavi Maps API ( https://lbs.amap.com/ ).

Article Title: Assessing Spatial Accessibility to Hierarchical Urban Parks by Multi-Types of Travel Distance in Shenzhen, China
Article Snippet: To estimate the travel distance with diverse transport modes between 630 communities and 885 urban parks, we utilize the AutoNavi Maps API ( http://lbs.amap.com/ ) from AutoNavi Software Co., Ltd., which is one of the leaders in providing web mapping, navigation, and location-based services in China.

Article Title: Expressway Network Model Construction and Road Section Impedance Estimation Based on Mixed Data
Article Snippet: The acquisition of high-speed road network information and traffic environment information is of great significance for traffic management and planning, and at the same time, an accurate and efficient road network model is also the basis for the acquisition and application of traffic parameters.. In order to quickly obtain high-speed road network information and road section traffic state information, this paper takes Chongqing Highway as an example, analyzes the traffic condition and characteristics of the highway network, and establishes the topology of the high-speed road network using network data and actual high-speed toll data from the graph theory and complex network theory.. At the same time, based on the topology theory, fully exploiting the high-speed toll data, a more accurate estimate of different time periods, vehicles in the high-speed road section of the travel time, for highway traffic analysis to provide data reference, to improve the traffic planning program to enhance the efficiency of traffic management, to promote traffic planning and decision-making, as well as to enrich the theoretical basis of transportation research is of great significance.

Article Title: Exploring decision-making mechanisms for the metro-based underground logistics system network expansion: An example of Beijing
Article Snippet: In facing “big-city diseases”, using urban underground space to build a stratified transportation system is crucial for the sustainable development of the social economy.. In recent years, underground logistics systems (ULS) receive broad attention but developing a purpose-built ULS in megacities faces difficulties due to high costs and risks.. As a cost-effective alternative, the metro-based ULS (M-ULS) initiatives provide new visions for the citywide underground transport integration of passengers and freight.



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Yeast species identification from samples of the raw material and musts.

Journal: Foods

Article Title: The Influence of Maceration on the Biodiversity of Yeasts in the Early Winemaking Stages of White Wine from the Slovak Tokay Wine Region

doi: 10.3390/foods13233792

Figure Lengend Snippet: Yeast species identification from samples of the raw material and musts.

Article Snippet: The inoculated test plates were incubated at a temperature of 30 °C for 48 h–72 h. The results were processed and evaluated using Apiweb TM API 20C AUX V5.0 software (Biomerieux, Marcy-l’Étoile, France).

Techniques: Raw Material, Sequencing