Effectiveness of tablet computers in spatial data collection and surveys in rural Tanzania

2019 ◽  
Vol 85 (6) ◽  
Author(s):  
Emiliana J. Mwita ◽  
Amber L. Pearson ◽  
Adam Zwickle
Keyword(s):  
Data Collection ◽  
Spatial Data ◽  
Tablet Computers ◽  
Rural Tanzania

scholarly journals Change detection and building spatial geodatabase for Iraqi marshes

2018 ◽  
Vol 162 ◽  
pp. 03021
Author(s):  
Oday Jasim ◽  
Noor Hamed ◽  
Tamarra Abdulgabar
Keyword(s):  
Data Collection ◽  
Spatial Data ◽  
Satellite Images ◽  
The Other ◽  
Image Mosaic ◽  
Economic Potential ◽  
Second Stage ◽  
Area Of Interest ◽  
Natural Factors ◽  
Three Stages

The Iraqi Marshlands has natural and economic potential through its environment rich in various forms of lives. This region has suffered numerous setbacks due to human and natural factors, especially in the last two decades of the last century, which led to significant environmental degradation. The purpose of this paper is to prepare spatial data for the area of the marshes in Iraq as a base (Hour-al Hoveizah and central marshes and Hammar). Also, the other aim is to produce a digital geodatabase for the marshes for the years 1973, 1986, 1999, 2006 and 2016 by using ArcGIS. The process of building geodatabase has been through done in three stages: the first stage is including data collection. The second stage will be by merging the satellite images covering the Iraqi marshes and add to images in order to get the image mosaic process. Also, a georeferencing of satellite images is to be done with all the traditional maps of the same area of the marsh. Finally, complete the full geodatabase for the area of interest by using ArcGIS as the in Cartography Design. The results of this research would be a geodatabase for the Iraqi marshes.

scholarly journals Participatory Land Administration in Indonesia: Quality and Usability Assessment

Land ◽  
2020 ◽  
Vol 9 (3) ◽  
pp. 79 ◽  
Author(s):  
Trias Aditya ◽  
Eva Maria-Unger ◽  
Christelle vd Berg ◽  
Rohan Bennett ◽  
Paul Saers ◽  
...  
Keyword(s):  
Data Collection ◽  
Spatial Data ◽  
Rural Areas ◽  
Effective Means ◽  
Land Registration ◽  
Usability Assessment ◽  
Polygon Area ◽  
Usability Analysis ◽  
Awareness Programs ◽  
Seamless Connection

This paper presents the results from a quality and usability analysis of participatory land registration (PaLaR) in Indonesia’s rural areas, focusing on data quality, cost, and time. PaLaR was designed as a systematic community-centered land titling project collecting requisite spatial and legal data. PaLaR was piloted in two communities situated in Tanggamus and Grobogan districts in Indonesia. The research compared spatial data accuracy between two approaches, PaLaR and the normal systematic land registration approach (PTSL) with respect to point accuracy and polygon area. Supplementary observations and interviews were undertaken in order to evaluate the effectiveness of the spatial and legal data collection, as well as logical consistency of the data collected by the community committee, using a mobile application. Although the two pilots showed a lower spatial accuracy than the normal method (PTSL), PaLaR better suited local circumstances and still delivered complete spatial and legal data in a more effective means. The accuracy and efficiency of spatial data collection could be improved through the use of more accurate GNSS antennas and a seamless connection to the national land databases. The PaLaR method is dependent on, amongst other aspects, inclusive and flexible community awareness programs, as well as the committed participation of the community and local offices.

Addressing Educational Needs in Spatial Data, Information Science, and Geomatics in the Civil Engineering Undergraduate Curriculum

2003 ◽  
Vol 1848 (1) ◽  
pp. 64-69 ◽  
Author(s):  
Wayne A. Sarasua ◽  
William J. Davis
Keyword(s):  
Data Collection ◽  
Spatial Data ◽  
Information Science ◽  
Civil Engineering ◽  
Undergraduate Curriculum ◽  
Lessons Learned ◽  
Planning System ◽  
Engineering Curriculum ◽  
Clemson University ◽  
Data Collection And Analysis

The technology-driven, rapidly advancing field of spatial data and information science (SDIS) is an integral part of numerous engineering professions. Many college civil engineering programs are struggling to find ways to accommodate this subject in an already crowded undergraduate curriculum. There are several reasons that taking a course in SDIS is desirable for civil engineers entering today’s demanding job market. First, technologies related to surveying, spatial data, and information science are among the fastest developing in the industry, and there is significant demand for skills in the latest technology. Second, spatial data collection and analysis are essential to all civil engineering disciplines; thus, a fundamental understanding of data collection and analysis techniques is desirable. The transportation discipline of civil engineering may face the greatest need for professionals specializing in SDIS. Transportation planning, system design, facilities management, and transportation logistics rely heavily on SDIS technologies, including conventional surveying, geographic information systems, Global Positioning System, remote sensing, and digital terrain modeling. A description is given of a widely transferable and technically up-to-date course in geomatics that expands on traditional surveying by incorporating modern methods of spatial data collection, management, and analysis. Including a course on geomatics early in students’ undergraduate civil engineering curriculum may plant the seed for the development of future SDIS and SDIS for transportation professionals. Lessons learned in developing geomatics courses at Clemson University, Georgia Tech, and The Citadel are presented. Findings and recommendations are summarized with respect to broader application issues affecting the civil engineering curriculum.

scholarly journals Smartphone-assisted spatial data collection improves geographic information quality: pilot study using a birth records dataset

2016 ◽  
Vol 11 (3) ◽  
Author(s):  
Xiaohui Xu ◽  
Hui Hu ◽  
Sandie Ha ◽  
Daikwon Han
Keyword(s):  
Pilot Study ◽  
Data Collection ◽  
Spatial Data ◽  
Information Quality ◽  
Reference Method ◽  
Application Programming Interface ◽  
Geographic Information ◽  
Aerial Image ◽  
Positional Accuracy ◽  
Birth Records

It is well known that the conventional, automated geocoding method based on self-reported residential addresses has many issues. We developed a smartphone-assisted aerial image-based method, which uses the Google Maps application programming interface as a spatial data collection tool during the birth registration process. In this pilot study, we have tested whether the smartphone-assisted method provides more accurate geographic information than the automated geocoding method in the scenario when both methods can get the address geocodes. We randomly selected 100 well-geocoded addresses among women who gave birth in Alachua county, Florida in 2012. We compared geocodes generated from three geocoding methods: i) the smartphone-assisted aerial image-based method; ii) the conventional, automated geocoding method; and iii) the global positioning system (GPS). We used the GPS data as the reference method. The automated geocoding method yielded positional errors larger than 100 m among 29.3% of addresses, while all addresses geocoded by the smartphoneassisted method had errors less than 100 m. The positional errors of the automated geocoding method were greater for apartment/condominiums compared with other dwellings and also for rural addresses compared with urban ones. We conclude that the smartphone-assisted method is a promising method for perspective spatial data collection by improving positional accuracy.

scholarly journals Photogrammetric methods of terrain and obstacle data collection and AMDB creation based on satellite and UAS imagery

2018 ◽  
Vol 236 ◽  
pp. 01008
Author(s):  
Liudmila Mitsevich ◽  
Natalia Zhukovskaya
Keyword(s):  
Information Systems ◽  
Geographic Information Systems ◽  
Data Collection ◽  
Data Base ◽  
Spatial Data ◽  
Data Gathering ◽  
Efficient Technology ◽  
Aerial Photos ◽  
Attribute Data ◽  
Measurement Selection

The paper discusses the photogrammetric methods and process of creating geodata for aeronautical information databases. Efficient technology for collecting data on terrain, obstacles and cartographic information using satellite and aerial photos is given. The measurement, selection and evaluation of spatial data have met the international requirements for the completeness and accuracy as well as the developed structure of the attribute data base. The advantages of digital photogrammetric system and geographic information systems as the main software for aeronautical data gathering, are considered.

scholarly journals Building and exhibition layout: Sainsbury Wing compared with Castelvecchio

2004 ◽  
Vol 8 (2) ◽  
pp. 128-140 ◽  
Author(s):  
Kali Tzortzi
Keyword(s):  
Data Collection ◽  
Spatial Data ◽  
Movement Pattern ◽  
Two Dimensions ◽  
Spatial Relationships ◽  
Critical Argument ◽  
Data Collection And Analysis ◽  
Museum Experience ◽  
Two Parameters

It has always been thought that there are two dimensions in museum experience: the experience of space which can be distinguished from that of exhibits, as the former is largely non-discursive while the latter is more in the discursive domain. This paper aims to contribute to the description and understanding of the intricate pattern of interdependencies between the two parameters of the microstructure of the gallery space, the design of space and of the display layout. The paper uses rigorous methods of ‘spatial data’ collection and analysis (analytic representations of spatial relationships, and systematic representations of the movement pattern) and on this objective foundation builds an interpretative and critical argument.

scholarly journals AN OPEN-SOURCE MOBILE GEOSPATIAL PLATFORM FOR PROMOTING CLIMATE-SMART LIVELIHOOD-LANDSCAPE SYSTEMS IN FIJI AND TONGA

2019 ◽  
Vol XLII-4/W14 ◽  
pp. 31-36
Author(s):  
K. P. Davies ◽  
J. Duncan ◽  
N. Wales ◽  
R. Varea ◽  
H. Shojaei ◽  
...  
Keyword(s):  
Data Collection ◽  
Open Source ◽  
Spatial Data ◽  
Landscape Management ◽  
Field Testing ◽  
Small Island ◽  
Participatory Gis ◽  
Development Data ◽  
Land Use Policies ◽  
Data Layers

<p><strong>Abstract.</strong> Communities in Fiji and Tonga rely on landscape services to support a variety of livelihoods. These communities are increasingly vulnerable to climate (e.g. increasing cyclone occurrence and intensity) and environmental (e.g. mining and deforestation) stressors. Within these landscape systems, accurate and timely monitoring of human-climate-environment interactions is important to inform landscape management, land use policies, and climate-smart sustainable development. Data collection and monitoring approaches exist to capture landscape-livelihood information such as surveys, participatory GIS (PGIS), and remote sensing. However, these monitoring approaches are challenged by data collection and management burdens, timely integration of databases and data streams, aligning system requirements with local needs, and socio-technical issues associated with low-resource development contexts. Such monitoring approaches only provide static representation of livelihood-landscape interactions failing to capture the dynamic nature of vulnerabilities, and benefit only a small user base. We present a prototype of a mobile, open-source geospatial tool being collaboratively developed with the Ministries of Agriculture in Fiji and Tonga and local stakeholders, to address the above shortcomings of PGIS and other environmental monitoring and data sharing approaches. The tool is being developed using open-source mobile GIS technologies following a formal ICT for Development (ICT4D) framework. We discuss the results for each component of the ICT4D framework which involves multiple landscape stakeholders across the two Small Island Developing States. Based on the ICT4D user requirements analysis, we produced a prototype open-source mobile geospatial data collection, analysis and sharing tool. New dynamic spatial data layers related to landscape use and climate were specifically developed for use in the tool. We present the functionality of the tool alongside the results of field-testing with stakeholders in Fiji and Tonga.</p>

scholarly journals GIS DATA COLLECTION FOR PEDESTRIAN FACILITIES AND FURNITURE USING MAPINR FOR ANDROID

2016 ◽  
Vol XLII-4/W1 ◽  
pp. 89-95 ◽  
Author(s):  
N. Naharudin ◽  
M. S. S. Ahamad ◽  
A. F. M. Sadullah
Keyword(s):  
Data Collection ◽  
Spatial Data ◽  
Geometric Error ◽  
Mobile Gis ◽  
Line Form ◽  
Gis Data ◽  
Field Data Collection ◽  
Pedestrian Network ◽  
Local Agencies ◽  
Data Collection Procedure

Mobile GIS is introduced to reduce the time taken in completing the field data collection procedure. With the expansion of technology today, mobile GIS is not far behind. It can be integrated with the high-end innovation tools like smartphones. Spatial data capture which deemed to be the toughest stage of a GIS project is made simple with this method. Many studies had demonstrated the usage of mobile GIS in collecting spatial data and this paper discusses how it can be applied in capturing the GPS location of pedestrian furniture and facilities. Although some of the spatial data are available from local agencies, still a more detailed data is needed to create a better data model for this study. This study uses a free android application, MAPinr, which is available on the Google PlayStore to collect spatial data on site. It adopted the GNSS and cellular network positioning to locate the position of the required data. As the application allows the captured data to be exported to a GIS platform, the geometric error of the data was improved. In the end, an authenticated spatial dataset comprising pedestrian facilities and furniture in point and line form will be produced and later be used in a pedestrian network analysis study.

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