Pub Date : 2002-12-01DOI: 10.1080/00690805.2002.9714220
{"title":"COMPANY MEMBER NEWS","authors":"","doi":"10.1080/00690805.2002.9714220","DOIUrl":"https://doi.org/10.1080/00690805.2002.9714220","url":null,"abstract":"","PeriodicalId":44129,"journal":{"name":"Geodesy and Cartography","volume":"6 1","pages":"184 - 185"},"PeriodicalIF":2.0,"publicationDate":"2002-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73002633","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}
Pub Date : 2002-12-01DOI: 10.1080/00690805.2002.9714212
N. Brown, A. Kealy, I. Williamson
Data quality information has been recognised as essential in assessing the fitness for use of any spatial dataset, and fundamental to enabling efficient and effective data integration through spatial data infrastructure (SDI). Missing or inaccurate data quality information can result in inappropriate use of the data with associated consequences of poor decision making, reduced utility and decreased market value. The increasing use of the Global Positioning System (GPS) as a primary data acquisition source for spatial databases highlights the significance of this problem. At present the measures of quality for GPS derived coordinates given by commercial software packages tend to be unrealistic and are more often than not optimistic. This is because not all of the systematic and random errors present in the observations are fully modelled through the standard functional or stochastic models used. This paper presents some of the current problems in identifying the quality of GPS data as derived from commercial processing software. Common GPS processing strategies are reviewed in the context of error modelling and data quality. Finally, current research activities into strategies for maximizing GPS data quality are presented.
{"title":"Stochastic Modelling of GPS Phase Observations for Improved Quality Estimation","authors":"N. Brown, A. Kealy, I. Williamson","doi":"10.1080/00690805.2002.9714212","DOIUrl":"https://doi.org/10.1080/00690805.2002.9714212","url":null,"abstract":"Data quality information has been recognised as essential in assessing the fitness for use of any spatial dataset, and fundamental to enabling efficient and effective data integration through spatial data infrastructure (SDI). Missing or inaccurate data quality information can result in inappropriate use of the data with associated consequences of poor decision making, reduced utility and decreased market value. The increasing use of the Global Positioning System (GPS) as a primary data acquisition source for spatial databases highlights the significance of this problem. At present the measures of quality for GPS derived coordinates given by commercial software packages tend to be unrealistic and are more often than not optimistic. This is because not all of the systematic and random errors present in the observations are fully modelled through the standard functional or stochastic models used. This paper presents some of the current problems in identifying the quality of GPS data as derived from commercial processing software. Common GPS processing strategies are reviewed in the context of error modelling and data quality. Finally, current research activities into strategies for maximizing GPS data quality are presented.","PeriodicalId":44129,"journal":{"name":"Geodesy and Cartography","volume":"4 1","pages":"143 - 151"},"PeriodicalIF":2.0,"publicationDate":"2002-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82825926","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}
Pub Date : 2002-12-01DOI: 10.1080/00690805.2002.9714217
(i) PUBLICATIONS RECEIVED Bericht ijber die Tatigkeit des Bundesamtes fijr Kartographie und Geodasie, 200212001 Bibliogra fia geografii Polskiej 1996 Hong Kong. Lands Department. Countryside Series. Sheet: Outlying Islands. Scale 1: 7 500-115 000.. 3 ed. 2000. Hong Kong. Lands Department. Countryside series. Sheet: Sai Kung & Clear M t e r Bay. Scale 1: 25 000. 7 ed. 2002 Hong Kong. Lands Department. Hong Kong Guide 2002. Hong Kong 2002 Hong Kong. Lands Department. Hong Kong in its regional setting. 7 ed. 2002 Hong Kong. Lands Department. Hong Kong special administrative region. Scale 1: 200 000. 26 ed. 2002. Hong Kong. Lands Department. Hong Kong special administrative region. Scale 1: 10 000. 12 ed. 2001. Series HM100CL Hong Kong. Lands Department. Town map series. Sheets: Euen Mn,Kwaltsing & North Lantau; NT North & Tai Po; Tuen Mun & Yuen Long. Scales 1: 8 000 & 1: 8 500.2002. Mitteilungen des Bundesamtes fur kartographie undgeodasie Band23 (EUREF publication no. 10)
(i)出版刊物:Bericht ijber die Tatigkeit des Bundesamtes geography and geoasie, 200212001 bibliogria geogeoii Polskiej 1996香港。土地部门。农村系列。表格:离岛。刻度1:7 500-115 000..3版。2000。香港。土地部门。农村系列。图则:西贡及清潭湾比例1:25 000。7版。2002香港。土地部门。香港旅游指南2002。香港2002香港。土地部门。香港的区域背景。7版。2002香港。土地部门。香港特别行政区。比例1:20 000。26版。2002。香港。土地部门。香港特别行政区。比例1:10 000。12版。2001。HM100CL系列香港。土地部门。城镇地图系列。床单:云恩、华青及北大屿山;新界北及大埔;屯门及元朗刻度1:8 000 & 1:8 500.2002。德国地形学委员会(Mitteilungen des Bundesamtes fur kartographie undergeodasie Band23)10)
{"title":"LITERATURE RECEIVED","authors":"","doi":"10.1080/00690805.2002.9714217","DOIUrl":"https://doi.org/10.1080/00690805.2002.9714217","url":null,"abstract":"(i) PUBLICATIONS RECEIVED Bericht ijber die Tatigkeit des Bundesamtes fijr Kartographie und Geodasie, 200212001 Bibliogra fia geografii Polskiej 1996 Hong Kong. Lands Department. Countryside Series. Sheet: Outlying Islands. Scale 1: 7 500-115 000.. 3 ed. 2000. Hong Kong. Lands Department. Countryside series. Sheet: Sai Kung & Clear M t e r Bay. Scale 1: 25 000. 7 ed. 2002 Hong Kong. Lands Department. Hong Kong Guide 2002. Hong Kong 2002 Hong Kong. Lands Department. Hong Kong in its regional setting. 7 ed. 2002 Hong Kong. Lands Department. Hong Kong special administrative region. Scale 1: 200 000. 26 ed. 2002. Hong Kong. Lands Department. Hong Kong special administrative region. Scale 1: 10 000. 12 ed. 2001. Series HM100CL Hong Kong. Lands Department. Town map series. Sheets: Euen Mn,Kwaltsing & North Lantau; NT North & Tai Po; Tuen Mun & Yuen Long. Scales 1: 8 000 & 1: 8 500.2002. Mitteilungen des Bundesamtes fur kartographie undgeodasie Band23 (EUREF publication no. 10)","PeriodicalId":44129,"journal":{"name":"Geodesy and Cartography","volume":"18 1","pages":"179 - 179"},"PeriodicalIF":2.0,"publicationDate":"2002-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84559355","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}
Pub Date : 2002-12-01DOI: 10.1080/00690805.2002.9714207
D. Shaw, W. Cartwright, C. Arrowsmith
The mutable relationships between telematics technologies and social change, encompassing the different ‘communication spheres’ of satellite television through to home phone use, are processes that continually produce new understandings of time and space. This has lead to simultaneous growth in what has been called ‘new geographies’. These new geographies exist on and through different scales of temporal, spatial, historical, economic and social ‘strata’. It is these ‘strata’ of new telematics geographies that the authors intend to identify and map as part of this current research project, and within this paper the authors will offer a general examination of the research methods used and results achieved thus far.
{"title":"Telematics: Identifying the New Geographies of Digital Communication","authors":"D. Shaw, W. Cartwright, C. Arrowsmith","doi":"10.1080/00690805.2002.9714207","DOIUrl":"https://doi.org/10.1080/00690805.2002.9714207","url":null,"abstract":"The mutable relationships between telematics technologies and social change, encompassing the different ‘communication spheres’ of satellite television through to home phone use, are processes that continually produce new understandings of time and space. This has lead to simultaneous growth in what has been called ‘new geographies’. These new geographies exist on and through different scales of temporal, spatial, historical, economic and social ‘strata’. It is these ‘strata’ of new telematics geographies that the authors intend to identify and map as part of this current research project, and within this paper the authors will offer a general examination of the research methods used and results achieved thus far.","PeriodicalId":44129,"journal":{"name":"Geodesy and Cartography","volume":"14 1","pages":"73 - 86"},"PeriodicalIF":2.0,"publicationDate":"2002-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82782254","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}
Pub Date : 2002-12-01DOI: 10.1080/00690805.2002.9714211
W. Jiang, D. Fraser
Satellite remote sensing is a discipline in which data volumes are enormous and processing chains relatively complex. As more satellites are now being launched into space by different organizations and more sophisticated research is being undertaken in this field, the volume of data captured grows year by year with higher temporal, spectral and spatial resolutions. The volume and variety and quality of these data present a challenge to traditional processing approaches. Apart from that, the requirement of the analysis of a multispectral time series of images for the same geographical location in many applications, especially in the investigation of dynamic environmental changes, also has increased the need for the high performance processing power. This paper presents research in developing a parallel processing approach applied to satellite image processing on the distributed-memory MIMD parallel system. The Victorian Partnership of Advanced Computing (VPAC) funds this research project, as one of their expertise program grants. The objectives of the research are to investigate and determine the optimal data parallelism on the distributed-memory MIMD computer, develop the specifications required to map the image data onto the parallel processors and design the algorithms of parallel spatial input/output and spatial analysis to make best use of the chosen parallelism. The paper also presents an empirical test on the determination of the area susceptible to soil salinity by using satellite images. Several approaches that can be used for remote sensing image analysis are introduced and implemented in this empirical example. The result of the performance evaluation that occurred on the MIMD computer in VPAC demonstrates the potential advanced computing has for the development of a set of software tools that can quickly perform precision analysis on large volumes of spatial data.
{"title":"A Parallel Satellite Image Processing Approach Using a Distributed Memory MIMD System","authors":"W. Jiang, D. Fraser","doi":"10.1080/00690805.2002.9714211","DOIUrl":"https://doi.org/10.1080/00690805.2002.9714211","url":null,"abstract":"Satellite remote sensing is a discipline in which data volumes are enormous and processing chains relatively complex. As more satellites are now being launched into space by different organizations and more sophisticated research is being undertaken in this field, the volume of data captured grows year by year with higher temporal, spectral and spatial resolutions. The volume and variety and quality of these data present a challenge to traditional processing approaches. Apart from that, the requirement of the analysis of a multispectral time series of images for the same geographical location in many applications, especially in the investigation of dynamic environmental changes, also has increased the need for the high performance processing power. This paper presents research in developing a parallel processing approach applied to satellite image processing on the distributed-memory MIMD parallel system. The Victorian Partnership of Advanced Computing (VPAC) funds this research project, as one of their expertise program grants. The objectives of the research are to investigate and determine the optimal data parallelism on the distributed-memory MIMD computer, develop the specifications required to map the image data onto the parallel processors and design the algorithms of parallel spatial input/output and spatial analysis to make best use of the chosen parallelism. The paper also presents an empirical test on the determination of the area susceptible to soil salinity by using satellite images. Several approaches that can be used for remote sensing image analysis are introduced and implemented in this empirical example. The result of the performance evaluation that occurred on the MIMD computer in VPAC demonstrates the potential advanced computing has for the development of a set of software tools that can quickly perform precision analysis on large volumes of spatial data.","PeriodicalId":44129,"journal":{"name":"Geodesy and Cartography","volume":"35 1","pages":"135 - 142"},"PeriodicalIF":2.0,"publicationDate":"2002-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82489323","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}
Pub Date : 2002-12-01DOI: 10.1080/00690805.2002.9714201
R. Furness
R. Furness 93 Ashworth Ave Belrose NSW 2085 rfurness@ozemail.com.au Good morning, ladies and gentlemen I do not speak lightly when I tel l you unashamedly, that I am honoured to have been asked to be an early keynote speaker for this 2002 Mapping Sciences Institute Australia national conference. Conferences are something the MSlA (and its forerunner form, the Australian Institute o f Cartographers) has always done very wellsince 1974 in substantial form.
R. Furness 93 Ashworth Ave Belrose NSW 2085 rfurness@ozemail.com.au早上好，女士们先生们，当我毫不羞耻地告诉你们，我很荣幸被邀请成为2002年澳大利亚测绘科学研究所全国会议的早期主题演讲者时，我并不是轻易说话。会议是MSlA(及其前身，澳大利亚制图师协会)自1974年以来一直以实质性形式做得很好的事情。
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Pub Date : 2002-12-01DOI: 10.1080/00690805.2002.9714221
Todd Jason Abronowitz
{"title":"EDUCATION","authors":"Todd Jason Abronowitz","doi":"10.1080/00690805.2002.9714221","DOIUrl":"https://doi.org/10.1080/00690805.2002.9714221","url":null,"abstract":"","PeriodicalId":44129,"journal":{"name":"Geodesy and Cartography","volume":"14 1","pages":"186 - 189"},"PeriodicalIF":2.0,"publicationDate":"2002-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72843016","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}
Pub Date : 2002-12-01DOI: 10.1080/00690805.2002.9714204
K. Hayles, R. Grenfell
With the use of Geographical Information Systems (GIS) becoming more widespread and the increase in digital data exchange and sharing, data integration issues are becoming more apparent as users aim to utilise a variety of data sets from different sources. In rural areas, land size, soil type, crop production, irrigation and distance to transport services are among some of the key factors that influence property value. In addition, water and wind erosion, dryland salinity, fire, flood, drought and pests, both plants and animals, can pose serious threats to agricultural production and to the future capabilities of the land. In developing a tool to forecast rural property values, numerous data sets are required. This paper explores some of the issues dealing with the integration of numerous data sets, including scale, projection, database design and GIS data format differences, and aims to provide a framework for their use in data integration.
{"title":"Data Integration: An Application in Rural Property Valuation","authors":"K. Hayles, R. Grenfell","doi":"10.1080/00690805.2002.9714204","DOIUrl":"https://doi.org/10.1080/00690805.2002.9714204","url":null,"abstract":"With the use of Geographical Information Systems (GIS) becoming more widespread and the increase in digital data exchange and sharing, data integration issues are becoming more apparent as users aim to utilise a variety of data sets from different sources. In rural areas, land size, soil type, crop production, irrigation and distance to transport services are among some of the key factors that influence property value. In addition, water and wind erosion, dryland salinity, fire, flood, drought and pests, both plants and animals, can pose serious threats to agricultural production and to the future capabilities of the land. In developing a tool to forecast rural property values, numerous data sets are required. This paper explores some of the issues dealing with the integration of numerous data sets, including scale, projection, database design and GIS data format differences, and aims to provide a framework for their use in data integration.","PeriodicalId":44129,"journal":{"name":"Geodesy and Cartography","volume":"1 1","pages":"39 - 50"},"PeriodicalIF":2.0,"publicationDate":"2002-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90703510","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}
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