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Location Based Navigation Service Technology: Development of an Optimization Algorithm for Multivariate Contextual Cartographic Content in Location Based Navigation Service

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Journal of Computer and Communications 2022年第1期10卷 57-90页

作者： Charles Busera Wasomi Edward Hunja Waithaka Moses Karoki Gachari david ndegwa kuria Geomatic Engineering and Geospatial Information Systems Jomo Kenyatta University of Agriculture and Technology (JKUAT) Nairobi Kenya Geomatic Engineering and Geospatial Information Systems Dedan Kimathi University of Technology (DKUT) Nyeri Kenya

User response or reaction to navigation applications is influenced by relevance in geographic information, in terms of cartographic context and content delivered within a definite time, providing a direct impact to outcome or consequence based on decision making and hence user reaction. Location Based Navigation Services (LBNS) have continuously advanced in cartographic visualization, making maps interpretation easy and ubiquitous to any user, as compared to pre-historic times when maps were a preserve of a few. Despite rapid growth in LBNS, there exist challenges that may be characterized as technical and non-technical challenges, among them being process of conveying geospatial information to user. LBNS system deliver appropriate information to a user through smartphone (mobile device) for effective decision making and response within a given time span. This research focuses on optimization of cartographic content for contextual information in LBNS to users, based on prevailing circumstances of various components that constitute it. The research looks into Geographic Information Retrieval (GIR), as a technical challenge centered on a non-technical issue of social being of user satisfaction, leading to decision making in LBNS, hence response and outcome. Though advanced technologically, current LBNS on information sourcing depends on user manual web pages navigation and maneuver, this can be painstaking and time consuming that it may cause unnecessary delay in information delivery, resulting to delayed information response time (DIRT). This in turn may lead to unappropriate decision making with erroneous reaction or response being taken, resulting in loss of opportunity, resources, time and even life. Optimization in LBNS is achieved by a mathematical relationship developed between user status, mobile device variables against cartographic content. The relationship is in turn applied in LBNS android application to fulfill optimization solution for user consumption.

关键词： Location Based Services (LBS) Smartphone Mobile Device Mobile Phone Location Based Navigation Service (LBNS) Kenya Cartographic Content Cartographic Visualization Cartographic Contextual Content Cartographic Optimization Optimization Algorithm

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Location Based Services Acceptance and Adoption Evaluation: An Investigation on Mobile Phone Users’ Response to Awareness and Utilization of LBS Technology in Nairobi Kenya

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Journal of Computer and Communications 2021年第10期9卷 60-96页

作者： Charles Busera Wasomi Edward Hunja Waithaka Moses Karoki Gachari david ndegwa kuria Department of Geomatics Engineering and Geospatial Information Systems Jomo Kenyatta University of Agriculture and Technology (JKUAT) Nairobi Kenya Department of Geomatics Engineering and Geospatial Information Systems Dedan Kimathi University of Technology (DKUT) Nyeri Kenya

Location Based Navigation System (LBNS) is a specific Location Based Service (LBS) purely for navigational purpose. These systems resolve position of a user by using GNSS/GPS positioning technologies, to which supplementary information on goods and services are tagged. The navigation services have become popular and can be installed on mobile phones to provide route information, location of points of interest and user’s current location. LBS has continued to face challenges which include “communication” process towards user reference. Location Based Service System conveys suitable information through a mobile device for effective decision making and reaction within a given time span. This research was geared at understanding the state of LBS technology acceptance and adoption by users in Nairobi Kenya. To do this a quantitative study was carried out through a questionnaire, to investigate mobile phone users’ response on awareness and use of LBS technology. Testing the growth of this technology in this region compared to predictions in previous studies using Technology Acceptance Model (TAM), it is evident that many users may be aware of GPS functionality in mobile phones but are certainly yet to fully embrace the technology as they rarely use it. This points to some underlying challenges towards this technology within this part of the World, thereby recommending for deliberate monitoring and evaluation of LBS technology for sustenance growth based on user satisfaction and acceptance for improved usability.

关键词： Location Based Services (LBS) Smartphone Mobile Device Mobile Phone Location Based Navigation Service (LBNS) Technology Acceptance Model Quantitative Analysis

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A Web-Based Pilot Implementation of the Africanized Land Administration Domain Model for Kenya—A Case Study of Nyeri County

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Journal of Geographic Information System 2016年第2期8卷 171-183页

作者： david kuria Moses Ngigi Caroline Gikwa Charles Mundia Mary Macharia Institute of Geomatics GIS & Remote Sensing Dedan Kimathi University of Technology Nyeri Kenya National Land Information Management Systems Directorate National Land Commission Nairobi Kenya

Kenya has amassed a wealth of paper based land information records collected over the duration of more than a century. The National Land Commission (NLC) having the mandate to develop a National Land Information Management System (NLIMS) for Kenya partnered with the Dedan Kimathi University of Technology on a project to develop a pilot LIMS for Nyeri County. A pilot Land Administration System (LAS) has been developed in this work and utilizes an Africanized Land Administration Domain Model (A-LADM) fitted to the Kenyan context. Various processes involved in land administration that required to be automated were identified. Informed by the numbers of applications made for the change of User service, it was picked as the first workflow to be automated. The key outputs of this work were the A-LADM and pilot LAS. The pilot solution uses a webcentric solution, with the data stored and managed centrally from a PostGIS database backend, using the Python Django framework to implement the server side and client side frontend. This solution demonstrates the importance of automating processes and supporting standards based software development. Stakeholder participation is key when implementing systems and 2 workshops are held to capture requirements and validate the developed solution.

关键词： LADM LAS A-LADM Development Control Workflow Automation

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Influence of Vegetation Cover on the Oh Soil Moisture Retrieval Model: A Case Study of the Malinda Wetland, Tanzania

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Advances in Remote Sensing 2016年第1期5卷 28-42页

作者： Fridah Kirimi david N. kuria Frank Thonfeld Esther Amler Kenneth Mubea Salome Misana Gunter Menz Department of Geography University of Bonn Bonn Germany Institute of Geomatics GIS & Remote Sensing Dedan Kimathi University of Technology Nyeri Kenya Department of Geography University of Dar es Salaam Dar es Salaam Tanzania

Soil moisture is an important parameter that drives agriculture, climate and hydrological systems. In addition, retrieval of soil moisture is important in the analysis as well as its influence on these systems. Radar imagery is best suited for this retrieval due to its all-weather capability and independence from solar irradiation. Soil moisture retrieval was done for the Malinda Wetland, Tanzania, during two time periods, March and September 2013. The aim of this paper was to analyze soil moisture retrieval performance when vegetation contribution is taken into account. Backscatter values were obtained from TerraSAR-X Spotlight mode imagery taken in March and September 2013. The backscatter values recorded by SAR imagery are influenced by vegetation, soil roughness and soil moisture. Thus, in order to obtain the backscatter due to soil moisture, the roughness and vegetation contribution are determined and decoupled from total backscatter. The roughness parameters were obtained from a Digital Surface Model (DSM) from Unmanned Aerial Vehicle (UAV) photographs whereas the vegetation parameter was obtained by inverting the Water Cloud Model (WCM). Lastly, soil moisture was retrieved using the Oh Model. The coefficient of correlation between the observed and retrieved was 0.39 for the month of March and 0.65 in the month of August. When the vegetation contribution was considered, the r2 for March was 0.64 and that in August was 0.74. The results revealed that accounting for vegetation improved soil moisture retrieval.

关键词： Surface Soil Moisture Oh Model Water Cloud Model Wetland TerraSAR-X

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Seasonal Vegetation Changes in the Malinda Wetland Using Bi-Temporal, Multi-Sensor, Very High Resolution Remote Sensing Data Sets

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Advances in Remote Sensing 2014年第1期3卷 33-48页

作者： david N. kuria Gunter Menz Salome Misana Emiliana Mwita Hans-Peter Thamm Miguel Alvarez Neema Mogha Mathias Becker Helida Oyieke Department of Geography Dar es Salaam University College of Technology Dar es Salaam Tanzania Department of Geography Free University Berlin Malteserstr Germany Department of Geography University of Bonn Meckenheimer Allee Bonn Germany Department of Geography University of Dar es Salaam Dar es Salaam Tanzania Institute of Crop Science and Resource Conservation University of Bonn Katzenburgweg Germany Institute of Geomatics GIS & Remote Sensing Dedan Kimathi University of Technology Nyeri Kenya National Museums of Kenya Nairobi Kenya

Small wetlands in East Africa have grown in prominence driven by the unreliable and diminished rains and the increasing population pressure. Due to their size (less than 500 Ha), these wetlands have not been studied extensively using satellite remote sensing approaches. High spatial resolution remote sensing approaches overcome this limitation allowing detailed inventorying and research on such small wetlands. For understanding the seasonal variations in land cover within the Malinda Wetland in Tanzania (350 Ha), two periods were considered, May 2012 coinciding with the wet period (rainy season) and August 2012 coinciding with a fairly rain depressed period (substantially dry but generally cooler season). The wetland was studied using very high spatial resolution orthophotos derived from Unmanned Aerial Vehicle (UAV) photography fused with TerraSAR-X Spotlight mode dual polarized radar data. Using these fused datasets, five main classes were identified that were used to firstly delineate seasonal changes in land use activities and secondly used in determining phenology changes. Combining fuzzy maximum likelihood classification, knowledge classifier and Change Vector Analysis (CVA), land cover classification was undertaken for both seasons. From the results, manifold anthropogenic activities are taking place between the seasons as evidenced by the high conversion rates (63.01 Ha). The phenological change was also highest within the human influence class due to the growing process of cropped land (26.60 Ha). Much of the changes in both cover and phenology are occurring in the mid upper portion of the wetland, attributed to the presence of springs in this portion of the wetland along the banks of River Mkomazi. There is thus seasonality in the observed anthropogenic influence between the wetland and its periphery.

关键词： Image Fusion Land Cover Classification Unmanned Aerial Vehicle Change Vector Analysis Land Cover Change Vegetation Phenology

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