{"title":"One rasterization approach algorithm for high performance map overlay","authors":"Hui Dong, Zhenlin Cheng, Jinyun Fang","doi":"10.1109/GEOINFORMATICS.2009.5293561","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2009.5293561","url":null,"abstract":"It is a critical technique in GIS about how to implement map overlay with high performance. To avoid the disadvantages of computational geometry algorithm approach, an optimal algorithm based on rasterization is proposed in this paper, which adopts approach of rasterization of vector polygons with run length encoded scan line, map overlay on the basis of raster representation and vectorization of binary raster data with improved boundary tracing method. Experiments show the significant performance and efficiency improvements of the proposed algorithm, which is one promising solution for the map overlay function of on-line map service system taking the approach of pre-rendered raster tiles with predefined map scales.","PeriodicalId":121212,"journal":{"name":"2009 17th International Conference on Geoinformatics","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133421709","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Integration of geospatial information for mobile and services devices","authors":"Érick López-Ornelas, Fernando Farfan-Olvera","doi":"10.1109/GEOINFORMATICS.2009.5293553","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2009.5293553","url":null,"abstract":"The advancement of mobile information systems is going in parallel with Geographical Information Systems where they both meet in providing location-aware services. New systems are providing a new pervasive GIS dimension where access to geographical attributes is being possible at “anytime, anyplace and anyhow”.","PeriodicalId":121212,"journal":{"name":"2009 17th International Conference on Geoinformatics","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131855411","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Design and implementation of a location awareness system for field police work","authors":"Duansheng Chen, Yongquan Du, Yibao Zhang","doi":"10.1109/GEOINFORMATICS.2009.5293007","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2009.5293007","url":null,"abstract":"This paper presents a hand held location awareness device that enables police officers in the field to receive or send messages on the location of activities and events, and reach the destination quickly with the help of a detailed map.","PeriodicalId":121212,"journal":{"name":"2009 17th International Conference on Geoinformatics","volume":"114 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134550243","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Spatial interpolation via GWR, a plausible alternative?","authors":"Danlin Yu","doi":"10.1109/GEOINFORMATICS.2009.5293526","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2009.5293526","url":null,"abstract":"Spatial interpolation can be done through either univariate methods that rely solely on the spatial structure of the data or by combining the spatial information and attribute information. Geographically weighted regression, although is used primarily in modeling the spatially varying relationships, falls within the category of combining both spatial and attribute information to interpolate unknown values. Using both artificially generated data with predefined parameters and actual house data from the City of Milwaukee, this study evaluates the interpolation accuracy of the univariate interpolation method represented by ordinary Kriging and multivariate interpolation represented by regression Kriging and GWR interpolation. It is found that by including relevant auxiliary variable(s), RK and GWR interpolations yield more accurate results than the univariate interpolation method, though the subtlety of how the spatial structure is assumed produces slight difference between RK and GWR. This study suggests GWR can serve as a useful alternative interpolation method in data analysis in addition to providing more detailed understanding of the spatially varying relationships between target and auxiliary variables.","PeriodicalId":121212,"journal":{"name":"2009 17th International Conference on Geoinformatics","volume":"108 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117127009","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Hu Zhao, Zhengwei Yang, L. Di, Lin Li, Haihong Zhu
{"title":"Crop phenology date estimation based on NDVI derived from the reconstructed MODIS daily surface reflectance data","authors":"Hu Zhao, Zhengwei Yang, L. Di, Lin Li, Haihong Zhu","doi":"10.1109/GEOINFORMATICS.2009.5293522","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2009.5293522","url":null,"abstract":"Crop phenological stage estimation based on remote sensing data is critical for evaluating crop progress, condition and crop yield. However, the coarse spatial and temporal resolutions of multi-day composited data products limit the phenology estimation accuracy. The finer resolutions mean more variations in the data. To solve this dilemma, this paper proposes to use NDVI and its derivatives derived from the 250m MODIS daily surface reflectance data MOD09GQ to estimate crop phenology stages. In this paper, the contaminated data of MOD09GQ are first filtered out using quality flag and cloud information from MOD09GA. The missing data are reconstructed with linear interpolation. To remove noise and to generate differentiable NDVI curve, a new temporally and spatially iterative smoothing procedure that uses Savitzky-Golay filter and area averaging is proposed and the double logistic function fitting method is also presented as a comparison. The phenology stages such as emerged, maturity, and harvest dates are detected from the NDVI curve and its derivatives while other phenological stages that are not characterized by NDVI and its derivatives are indirectly derived from all known information. The initial experimental results indicate that the overall mean error of phenological stage estimation is less than 2 weeks for both corn and soybean, which are better than the results produced using temporal composited products as reported by existing papers. The experimental results for corn and soybean phenological estimation also indicate that different denoising techniques may lead to different results on diverse land cover types.","PeriodicalId":121212,"journal":{"name":"2009 17th International Conference on Geoinformatics","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115749250","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"An accelerated approach to create 3D Web cities","authors":"Lifeng Liu, Jinyun Fang","doi":"10.1109/GEOINFORMATICS.2009.5293461","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2009.5293461","url":null,"abstract":"Creating 3D city from the geographical information is an important goal in the field of visualization for GIS and the needs for Web GIS are growing and expanding rapidly. Many scenes of the 3D cities are built based on the models which are made by computer aided designing software to present real scenes, however, this method costs too much time and labor with the low efficiency. This paper presents a method that can promptly construct a 3D city on the Web according to the geographical information. Our approach uses the descriptions for the city from the geographical and additional information to construct the scene and divides the buildings into “molecule parts”. With the bottom-up process from cursory objects to fine buildings to assemble the whole scene, the patterns correspond to Web environment which needs the distributed data management and gradual transmission. Ever divided part which can be classified into the common types and saved into distributed storage environment is constructed according to its characteristics. In addition, we first establish abstract databases to store and classify various “molecule parts” which are created based on geometrical arithmetic, common objects and small models. The descriptive information specifies the data from database, which just need loading rather than producing, with lower cost of time and labor. Our approach designs a processing assembling method to match the different parts of building and the level of matching can be elaborated further with the expanding interfaces. Our approach shares and reuses the resources for rendering, such as geometrical structures, materials, textures and even the small models, to diminish the amount of data and the influence of network delay. Experimental results show that our approach increases the speed for rendering and decreases the transmission capacity greatly. Our approach is appropriate for the Web environment to improve the rendering efficiency and for promptly creating a 3D city.","PeriodicalId":121212,"journal":{"name":"2009 17th International Conference on Geoinformatics","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115903246","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Hao Chen, D. Goodenough, Aimin Guan, A. Charbonneau, R. Impey, W. Podaima, R. Sobie, A. Agarwal, B. Moa, I. Gable, P. Armstrong, R. Desmarais
{"title":"Geospatial data grid with computational capability","authors":"Hao Chen, D. Goodenough, Aimin Guan, A. Charbonneau, R. Impey, W. Podaima, R. Sobie, A. Agarwal, B. Moa, I. Gable, P. Armstrong, R. Desmarais","doi":"10.1109/GEOINFORMATICS.2009.5292844","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2009.5292844","url":null,"abstract":"Grid-computing technology is used to solve large or complex computational problems on distributed computational resources belonging to multiple organizations regardless of their geographical locations. In this paper, we introduce an integration of the SAFORAH geospatial data grid, provided by the Canadian Forest Service, and the computational grids, offered by the University of Victoria and National Research Council Canada, using Globus Toolkit 4 (GT-4) as a common grid middleware. New GT-4 services, such as an Integration Service (IS), a Metascheduler Service (MS) and a Registry Service (RS) were designed and implemented. MS is a broker used to schedule jobs on many distinct computational clusters at the project partner sites. The RS is used to track the availability of resources at these sites. IS allows the data grid and computational grids to work together, so that users are able not only to access geospatial data directly from the SAFORAH data grid but also to create virtual image products on the fly using the computational grids. The new system is a prime example of sharing data and computational resources and collaborating between different organization and research communities. We envisage that the results of our system would be valuable to other projects that wish to combine large-scale data management systems with computational resources.","PeriodicalId":121212,"journal":{"name":"2009 17th International Conference on Geoinformatics","volume":"171 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116127013","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A model driven framework for geographic knowledge discovery","authors":"Octavio Glorio, J. Zubcoff, Juan J. Trujillo","doi":"10.1109/GEOINFORMATICS.2009.5293412","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2009.5293412","url":null,"abstract":"Geographic knowledge discovery (GKD) is the process of extracting information and knowledge from massive georeferenced databases. Usually the process is accomplished by two different systems, the Geographic Information Systems (GIS) and the data mining engines. However, the development of those systems is a complex task due to it does not follow a systematic, integrated and standard methodology. To overcome these pitfalls, in this paper, we propose a modeling framework that addresses the development of the different parts of a multilayer GKD process. The main advantages of our framework are that: (i) it reduces the design effort, (ii) it improves quality systems obtained, (iii) it is independent of platforms, (iv) it facilitates the use of data mining techniques on geo-referenced data, and finally, (v) it ameliorates the communication between different users.","PeriodicalId":121212,"journal":{"name":"2009 17th International Conference on Geoinformatics","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115280887","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Finding cold wakes of hurricanes Gustav, Hanna, and Ike (August – September, 2008) and Katrina (August 2005) using three-day composites of Sea Surface Temperature from TRMM's TMI","authors":"Sinclair Sheers","doi":"10.1109/GEOINFORMATICS.2009.5292917","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2009.5292917","url":null,"abstract":"In August and September 2008, three hurricanes (Gustav, Hanna, and Ike) formed in the western Atlantic, one right after the other, and headed for the U.S. Three-day composites of Sea Surface Temperature (SST) from The Tropical Rainfall Measuring Mission's (TRMM) Microwave Imager (TMI) of the Gulf of Mexico and the western Atlantic during the time of these hurricanes show cold wakes for all three hurricanes: SST after each hurricane is less than SST before each hurricane along and around the hurricane's path (especially to the right of the path) thus creating a cold wake. The cold wake for Ike in the Gulf of Mexico in mid-September has an area where the temperature difference is particularly great. Katrina, the hurricane that devastated New Orleans and parts of the Gulf Coast in August 2005, also has a pronounced cold wake.","PeriodicalId":121212,"journal":{"name":"2009 17th International Conference on Geoinformatics","volume":"226 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115314739","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The Invasive Species Forecasting System","authors":"J. Schnase, N. Most, R. Gill, Peter L. A. Ma","doi":"10.1109/GEOINFORMATICS.2009.5293333","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2009.5293333","url":null,"abstract":"The Invasive Species Forecasting System provides computational support for the generic work processes found in many regional-scale ecosystem modeling applications. ISFS has been designed specifically to help resource managers understand the potential distribution of invasive terrestrial plant species. Decision support tools built using ISFS allow a user to load point occurrence field sample data for a plant species of interest and quickly generate habitat suitability maps for geographic regions of management concern, such as a national park, monument, forest, or refuge. The approach taken here could provide a new model for the agile delivery of data and services to a wide range of regionalized, geospatial decision support applications.","PeriodicalId":121212,"journal":{"name":"2009 17th International Conference on Geoinformatics","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115498751","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}