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Redressing citizens problem over spatial extent using GIS:ASIAN CONFERENCE ON REMOTE SENSING ACRS 2016

机译:使用GIS纠正公民问题:亚洲遥感ACRS 2016年亚洲会议

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In today's world there are many types of problem both at small and large scale. Sometimes solution to this problem becomes critical situation such that what method should be apply for resolving such type of condition. It has seen that problem solving using geospatial technology has very effective result and output which can be directly or indirectly apply to problem situation. For this case we are focusing on municipality level problem like redressing citizen problem or complaints related to water network and sewer system. This problem can be easily resolved if reason behind problem can be traced effectively and quickly. For this scenario representation of complaints over spatial extent will gives efficient results. If spatial distribution of complaint can be generated than tracing of reason to problem will become quick hence decision making and supports system will work in efficient manner. If problem's reason and the physical think to which problem has happened like network of water supply or sewer system has been traced than solution of problem can be stated as like achieved. For this study to be carried out we may use both type of software i.e. proprietary and open source. For this work to be done we may use Arc GIS or QGIS and server as platform so that both database handling and analysis over problem can be done effectively. It has seen that using open source technique provides solution at low cost while proprietary gives solution at some cost as required by software. But this situation is dependent over factors. For this study to be carried out we are focusing over Himmatnagar municipality from Gujrat state INDIA. To achieve this work network dataset algorithm will be used so that using this network issue can be traced. The outcome of this study involves troubleshooting of problem or complaints of citizen using spatial probabilistic approach so that citizen's issue related to water and sewer network can be effective resolved.
机译:在今天的世界中,小幅和大规模都有许多类型的问题。有时对此问题的解决方案变为关键的情况,以便应申请哪种方法来解决这些类型的条件。已经看到使用地理空间技术解决问题具有非常有效的结果和输出,可以直接或间接适用于问题情况。为此,我们专注于城市水平问题,如纠正与水网络和下水道系统相关的公民问题或投诉。如果可以有效且快速地跟踪问题后面的原因,可以轻松解决此问题。对于这种情况,对空间范围的投诉表示将提供有效的结果。如果可以生成投诉的空间分布,而不是出于问题的理由,因此将迅速决策,支持系统将以有效的方式工作。如果问题的原因和身体认为发生的水供电或下水道系统的网络已经被追溯而不是问题的解决方案可以表示。对于本研究进行,我们可以使用两种类型的软件即,专有和开源。对于这项工作来完成,我们可以使用ARC GIS或QGIS和Server作为平台,以便有效地完成数据库处理和对问题的分析。已经看出,使用开源技术以低成本提供解决方案,而专有量为软件要求以某种成本提供解决方案。但这种情况取决于因素。对于这项研究来说,我们正在关注Gujrat州印度的HIMMATNAGAR市。为实现此工作,将使用网络数据集算法,以便可以跟踪使用此网络问题。本研究的结果涉及使用空间概率方法对公民的问题或投诉进行故障排除,以便公民与水和下水道网络相关的问题可以有效解决。

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