Munir AhmadPreston University · Faculty of Computer Sciences
Munir Ahmad
Doctor of Philosophy
I am open for research collaboration
About
115
Publications
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Introduction
I have a Ph.D. in Computer Science with over 24 years of extensive experience in spatial data development, management, processing, visualization, and quality control. I have dedicated expertise in open data, crowdsourced data, volunteered geographic information, and spatial data infrastructure. With a passion for research and over 30 publications in the same field, obtained my Ph.D. degree in Computer Science from Preston University Pakistan, in 2022.
Additional affiliations
October 2015 - July 2016
Position
- Visiting Faculty
Description
- Visiting Faculty
Education
February 2014 - February 2017
February 2007 - February 2010
July 2006 - November 2007
Survey Training Institute, Survey of Pakistan
Field of study
- Land surveying and Mapping
Publications
Publications (115)
Climate change is a spatiotemporal phenomenon and global issue, too. It challenges sustainable environment and development. It is anticipated that climate change will affect almost all important sectors like agriculture and food security, water and energy resources, physical infrastructure, forest, biodiversity and marine environment.In order to de...
Location information may it be of our friends or foes always interests to us. Location based data (spatial data) is a key resource and strategic asset that is used by governments for decision making during peace and war. Due to various administrative and technical constraints, no single organization can collect and maintain data of a country. There...
Natural resources play a key role in the economy of a country such as Pakistan which depend more on land owned resources and less on industry for its economy. Pakistan’s natural resources include but are not limited to natural gas, soil, oil, hydro power, coal and limestone etc. However, unplanned urbanization and industrialization, increasing freq...
The objective of this paper is to develop a set of interoperable system models for ensuring smooth and quick supply of multiple geospatial datasets demanded by Pakistan’s Ministry of Planning Development and Reform to implement China-Pakistan Economic Corridor (CPEC).
Tourism industry had global economic contribution of almost 7.6 trillion US dollars in 2014. To protect the valued heritage landmarks, tourism and heritage management when integrated together lead to the rise of a new form of tourism i.e. heritage tourism that includes cultural, historic and natural resources. It is learned that climate change has...
Volunteered Geographic Information (VGI) significantly enhances travel planning by offering dynamic, user-generated data across diverse categories such as POIs, restaurants, shops, historical sites, hidden gems, and natural wonders. By leveraging VGI, travelers can uncover unique, off-the-beaten-path experiences and stay updated with real-time info...
This paper aims to identify and prioritize spatial data required for effective agriculture policymaking. The data are identified with the help of a literature review and organized under five dimensions to ease the process of prioritization through the analytical hierarchy process (AHP). The relative importance of the data is determined through an a...
This chapter explored how OpenStreetMap (OSM) enhances social inclusion and community participation in mapping. By enabling anyone to contribute, OSM leverages local knowledge for more accurate and detailed maps, addressing the limitations of traditional mapping. Community involvement is fostered through mapping parties, micro-tasking initiatives,...
This chapter traces the evolution of online mapping from the 1990s to today, highlighting its transformation from basic digital maps to sophisticated, interactive applications. These advancements have democratized access to spatial information, challenged traditional cartographic methods, and shifted the focus from static maps to dynamic, user-inte...
The chapter presents a comprehensive exploration of the current challenges in healthcare, particularly focusing on data privacy, security, interoperability issues, and critical data management amid the evolving landscape of technology and patient needs. The integration of blockchain technology emerges as a promising solution to enhance data securit...
This chapter explored the applications of OpenStreetMap (OSM) in digital health, highlighting improvements in patient navigation, resource mapping, and epidemic response. Integrating OSM data into digital health platforms enhances patient journeys by providing real-time navigation and access to public transportation options. It can help in locating...
OpenStreetMap (OSM) represents a pivotal tool for organizations committed to impactful CSR initiatives. Addressing the deficiencies of traditional mapping methods, OSM not only enhances transparency but also fosters robust community engagement. By providing up-to-date information crucial for disaster response and development planning, OSM can enabl...
The chapter highlighted the significance of market segmentation, focusing on defining market populations based on distinctive characteristics and creating tailored marketing programs for each segment. Geospatial analysis is essential in this process, providing insights into consumer behavior, demographics, and spatial trends. Utilizing geodemograph...
This chapter has delved into the significant role that OSM data can play in local climate change assessments and policy development. Utilizing the open, comprehensive, and continually updated geospatial information available in OSM, researchers and policymakers can equip themselves with essential tools to understand and tackle climate issues at the...
This chapter explored how blockchain technology can transform virtual tourism by ensuring secure, transparent transactions for VR/AR experiences, virtual museums, and interactive destinations. Blockchain enables verifiable ownership of digital souvenirs, customizable avatars, and virtual land, fostering vibrant in-world economies through secure vir...
Healthcare metaverses are acknowledged for their potential to revolutionize intelligent and personalized healthcare services. The incorporation of blockchain technology into the metaverse healthcare domain introduces an innovative pathway to enhance security, privacy, and interoperability within virtual healthcare settings. Despite the challenges s...
This chapter explored the potential of generative AI in the context of geoinformatics training. Generative AI techniques can generate realistic synthetic data to support tasks like land cover classification and object detection. Moreover, AI-generated datasets can help students develop skills in remote sensing, GIS, and spatial analysis without the...
OpenStreetMap (OSM) offers a powerful and versatile alternative to traditional map providers for smart destinations. This chapter explored the key advantages of OSM, including its collaborative data model, open licensing, and integration potential. The chapter then delved into various applications of OSM for smart destinations. By leveraging OSM's...
![Factors and indicators of the SDI readiness model adapted from [25].](publication/384457856/figure/tbl1/AS:11431281288085771@1730508550634/Factors-and-indicators-of-the-SDI-readiness-model-adapted-from-25_Q320.jpg)
Efforts to establish Pakistan’s National Spatial Data Infrastructure (NSDI) have been underway for the past 15 years, and therefore it is necessary to gauge the current progress to channelize efforts into areas that need improvement. This article assessed Pakistan’s NSDI implementation efforts through well-established approaches, including the SDI...
Citizen participation enhances public services by involving individuals in their design, implementation, and evaluation, fostering transparency and accountability. Volunteered geographic information (VGI) leverages technology, such as smartphones and GPS, for efficient, large-scale geospatial data collection, benefiting urban planning, disaster res...
Geo-marketing integrates traditional marketing with GIS to support companies in identifying target markets and strategically positioning themselves. This chapter explores OSM data utilization for competitor analysis, demographic insights, amenity evaluation, market segmentation, site selection, and store optimization. Extracting POI data from OSM,...
This chapter explores the ethical implications of chatbots and AI assistants, focusing on privacy and data security, bias and fairness, transparency and accountability, user autonomy, employment impacts, manipulation and persuasion, user well-being, cultural sensitivity, and sustainability. Privacy and data security are paramount, emphasizing user...
SDI is a vital tool for addressing various challenges of the 5E Framework in Pakistan. In the export sector, SDI datasets can identify new markets, optimize trade routes, diversify industries, and attract foreign direct investment by mapping critical infrastructure. In the realm of E-Pakistan, SDI datasets can support IT infrastructure development,...
Geo-tech transforms travel with real-time traffic, weather, and attraction updates. Travelers can personalize plans for safer, more convenient journeys. Volunteered Geographic Information (VGI) empowers them further with user-generated reviews, geotagged content, check-ins, location sharing, social media posts, hashtags, vlogs, collaborative travel...
This chapter explored the proactive impact of Ag-AI in shaping Society 5.0 farming practices. The chapter evaluated Ag-AI's capabilities and its role in advancing agriculture. It is found that Ag-AI leverages AI to enhance precision agriculture, resource optimization, predictive maintenance, and targeted pest and disease management. Ag-AI also enab...
The merger of artificial intelligence (AI) and spatial analysis is revolutionizing strategic development. Businesses are wielding the power of geographic information to streamline operations, optimize product placement, and cater directly to customer needs. By analyzing real-world examples like Walmart's and UPS's supply chains, and Kaiser Permanen...
![Figure 1. Three-Tier Body Area Sensor Network Architecture [2] Research...](profile/Ijist-Jr/publication/383918701/figure/fig1/AS:11431281277308201@1726026687261/Three-Tier-Body-Area-Sensor-Network-Architecture-2-Research-Challenges-in-WBAN_Q320.jpg)
Wireless Body Area Network (WBAN) is a promising technology for providing intelligent healthcare services in remote locations. A review of the literature shows that researchers have primarily focused on Quality of Service (QoS)-aware energy-efficient routing techniques, network topology, and Medium Access Control (MAC) layers in WBANs. QoS-aware ro...
This chapter examined the utilization of GeoAI for healthcare issues like patient demographics, socio-economic factors, health insurance coverage, and environmental conditions to enhance healthcare delivery. By analyzing population density and socio-economic data, GeoAI can optimize the placement of healthcare facilities and resources, ensuring equ...
Pakistan's healthcare system grapples with numerous challenges, including limited access to quality healthcare, a shortage of healthcare workers, and poor coordination among stakeholders. However, amidst these challenges lies a transformative solution—the integration of spatial data infrastructure (SDI). SDI serves as a central hub for geospatial d...
![Figure 1. Three-Tier Body Area Sensor Network Architecture [2] Research...](profile/Malik-Khiyal/publication/383819638/figure/fig1/AS:11431281276176304@1725625850469/Three-Tier-Body-Area-Sensor-Network-Architecture-2-Research-Challenges-in-WBAN_Q320.jpg)
is a promising technology for providing intelligent healthcare services in remote locations. A review of the literature shows that researchers have primarily focused on Quality of Service (QoS)-aware energy-efficient routing techniques, network topology, and Medium Access Control (MAC) layers in WBANs. QoS-aware routing techniques are based on a se...
Digital environments are becoming increasingly intertwined with our daily lives. Hence, understanding the complex interplay between virtual realities and real-world societies is crucial. The chapter concentrates on the delicate relationship between the metaverse and the social structures. Digital spaces or metaverse platforms, as such, mirror and i...
The significance of spatial data infrastructure (SDI) in municipal planning in Pakistan cannot be overstated, as it can plays a central role in reshaping urban development endeavors. By amalgamating a variety of geospatial datasets and fostering cooperation among government bodies and stakeholders, SDI can facilitate well-informed decision-making,...
This chapter explores the significance of augmented reality (AR) and virtual reality (VR) in marketing campaigns, highlighting their benefits in enhancing customer engagement, brand experiences, awareness, and insights. Marketers must stay updated with the latest trends to leverage AR and VR effectively, adapting to changing consumer behaviors and...
This article aims to assess Pakistan's National Spatial Data Infrastructure implementation efforts through well-established approaches including the SDI readiness model, organizational aspects, and state of play. The findings underscored challenges related to human resources, SDI education/culture, long-term vision, GI awareness, sustainable fundin...
This chapter focuses on three targets of sustainable development goals (SDGs), establishes their interconnectedness, and reports on their status in Pakistan. These include targets 5.A and 5.B of sustainable development goals (SDGs). Target 5.A aims at gender equality to guarantee economic empowerment, as reflected in its indicators: 5.A.1, which me...
Chatbots have emerged as innovative tools with the potential to significantly impact academic literacy skills across various domains. This study investigates the impact of chatbots on academic literacy skills across four domains: source evaluation, writing, critical thinking, and accessibility. Comparative analysis of Google Bard, Microsoft Bing Ch...
This study provides a comprehensive analysis of green spaces in Punjab Province, Pakistan, from 2019 to 2023. The OpenStreetMap (OSM) data has been employed to gain insight into green spaces focusing on leisure, natural, and land use tags. These findings indicate a consistent decline in green spaces across all key categories over the five-year peri...
OpenStreetMap data is a valuable resource for analyzing urban green spaces globally. This study reviews extensive literature showcasing diverse applications of OSM data in understanding green infrastructure distribution, accessibility, and characteristics. Researchers utilize various methodologies including spatial analysis, feature extraction, cla...
The integration of AI-driven technologies into society has led to profound changes across various domains, presenting both opportunities and challenges. AI has redefined communication patterns, breaking down barriers and introducing novel modes of engagement, but concerns about authenticity persist. In the realm of work dynamics, AI's automation ca...
This chapter emphasized the pivotal role of GIS in environmental decision-making by exploring spatial data collection methods, including GPS, remote sensing, LiDAR, and drones, highlighting their contributions to understanding environmental attributes. Spatial data integration and management within GIS are discussed as an efficient approach to data...
The chapter provides a comprehensive analysis of global studies on urban green spaces (UGS), highlighting their diverse methodologies and findings. Spanning countries such as the USA, Kenya, Germany, Finland, Portugal, China, Brazil, Belgium, Ukraine, Norway, Spain, South Africa, and many more, these studies underscore the pivotal role of UGS in en...
The chapter delves into the evolving landscape of decentralized finance (DeFi) governance, highlighting both opportunities and challenges. It emphasizes the role of community-driven decision-making and governance tokens in enhancing transparency and accountability. While innovative governance mechanisms hold promise, challenges such as voter apathy...
Generative AI offers transformative potential in healthcare, enabling advancements from data augmentation to drug discovery. However, its adoption poses ethical, technical, and regulatory hurdles. Issues like bias, data privacy, and ethical use necessitate responsible implementation. Stakeholders must collaborate to navigate these challenges, prior...
The Certificate of Appreciation is issued to the Reviewers of CRC Press edited book titled "Cybersecurity and Data Science Innovations for Sustainable Development of HEICC: Healthcare, Education, Industry, Cities and Communities". (CDS-ISD-HEICC)
Machine learning can play a critical role in geospatial analysis, providing enhanced computing efficiency, flexibility, and scalability, improved predictive capabilities, complicated problem resolution, and information extraction from big datasets. Python has emerged as the predominant language for geospatial machine learning due to its user-friend...
The Metaverse represents a revolutionary force in transforming religious tourism, demonstrating its versatile applicability in reinforcing visit intentions, advancing research, expanding resources sustainably, and transforming hospitality experiences. It serves as a catalyst for immersive education, virtual pilgrimages, community building, and faci...
The chapter delves into the pivotal role of spatial data in civic interactions across many domains, elucidating its significance in decision-making, community engagement, and governance. Spatial data support governments in disaster management, public health, environmental protection strategies, transport management, tourism planning strategies, and...
This chapter discussed the responsible use of spatial data in decision-making and the need to balance ethics with decision-making. The role of spatial data in decision-making and storytelling is discussed. Ethical issues in spatial data storytelling such as privacy and confidentiality, bias and discrimination, accuracy and misinformation, accessibi...
Geospatial information is used to regularly estimate agricultural production for improving food security and economic indicators. Particularly, such estimates are vital for agriculture-based economies like Pakistan. However, poorly managed spatial information causes inaccurate agricultural estimates. Consequently, public policies such as agricultur...
By examining the case study of spatial data infrastructure (SDI) implementation in Pakistan and its relationship with information governance, this chapter contributed to a deeper understanding of how effective spatial data management can support information governance objectives. A feasibility study is ongoing to establish NSDI in Pakistan. Moreove...
This chapter explored the transformative impact of cloud computing on geospatial data management, highlighting its scalability, cost-efficiency, and security features. This exploration adopted a qualitative method based on a literature review, systematically analyzing existing works to gain insights into the qualitative dimensions of the evolving i...
This chapter delved into the multifaceted benefits and challenges characterizing the Web 3 paradigm. Web 3, operating on decentralized networks, fortifies digital ecosystems against cyber threats and unauthorized access, exemplified by the resilience of Bitcoin's decentralized blockchain. Rooted in blockchain technology, web 3 introduces transparen...
The incorporation of chatbots within the tourism and hospitality sectors signals a transformative era aimed at enhancing customer engagement, operational efficiency, and industry responsiveness. With their diverse capabilities spanning from personalized recommendations to seamless booking processes, chatbots revolutionize the way travelers interact...
This chapter assessed the role of social media on the adoption of technology in public sector organizations. The chapter employed a case study of the impact of the Pak-NSDI WhatsApp Group on NSDI adoption in Pakistan. The results revealed that the Pak-NSDI WhatsApp Group functioned as a valuable resource for learning and knowledge-sharing, facilita...
Introduction to Geospatial Data Analysis with ChatGPT and Google Earth Engine
In the evolving landscape of digital content consumption, movie recommendation systems have become integral in providing personalized experiences. This paper presents a novel hybrid approach that integrates Big Data and Blockchain technologies with Artificial Intelligence (AI) to enhance the performance and security of movie recommendation systems....
OpenStreetMap (OSM) emerges as a dynamic asset for market intelligence, opening a plethora of possibilities for businesses and organizations to enrich their strategies and decision-making processes. By tapping into the geospatial wealth offered by OSM, enterprises can glean valuable insights into market dynamics, consumer preferences, and competiti...
In an era characterized by rapid technological progress, the persistent challenges of land administration are on the verge of a groundbreaking transformation through the adoption of blockchain technology. Originating with the advent of Bitcoin in 2008, blockchain has emerged as a beacon of hope, promising transparency, trust, immutability, and secu...
The integration of spatial data into education holds immense promise for transforming learning outcomes across diverse disciplines. From economics to archaeology, the incorporation of geospatial knowledge and technologies can empower students with a deep understanding of complex systems and equips them to devise sustainable solutions. The chapter e...
This chapter explored the transformative impact of data science and VGI on public service provision. VGI, as user-generated content, has played a significant role in democratizing geographic information, empowering users to actively participate in data generation and curation. The integration of VGI into government operations has presented new oppo...
The economic value of green spaces and their enormous potential can positively impact both community development and business growth. This chapter explored the value of OSM data especially green space data for business development. Strategic investment in parks and other green spaces has positive effects on the environment as well as the economy. I...
Volunteered geographic information is a crucial tool in disaster response and recovery, transforming data collection and sharing. It has significantly improved disaster management by providing insights into urgent needs, damage estimation, and resource allocation. The distribution of VGI during relief efforts has greatly benefited from social media...
The use of spatially aware artificial intelligence in studying and monitoring Sustainable Development Goals is examined in this chapter. Spatially aware AI incorporates spatial data and AI algorithms to achieve particular SDGs, such as poverty eradication, hunger eradication, excellent health and wellbeing, quality education, clean water and sanita...
Fog computing offers key features such as real-time communication, physical distribution, position awareness, compatibility, scalability, and energy efficiency, which collectively enhance the management of integrated spatial data. It provides benefits such as real-time data processing, seamless data sharing, improved efficiency, enhanced data secur...
Transformative discoveries are available across several disciplines because of the convergence of integrated geospatial information management with the Metaverse. Through the study of geospatial data, integrated geospatial information management (GIM) offers useful insights that can support emergency response, transportation, and urban planning. Im...
Religious tourism in Pakistan is a diverse and culturally rich sector poised for growth, yet facing numerous challenges, including infrastructure deficiencies, maintenance issues, security concerns, undiscovered potential, economic factors, cultural disparities, and data gaps. OpenStreetMap (OSM), a community-driven mapping platform, offers transfo...
In the presented work, some characteristics of devices of adaptive and control-tracking control systems are considered. The characteristic features of angle sensors, methods of converting analog signals with high accuracy (for example, sine-cosine transformers) occupies a leading position among the development and research of tracking systems. The...
OSM plays a crucial role in advancing sustainable development across the economy, environment, and society. It can foster economic sustainability by enabling infrastructure planning, disaster response, and energy efficiency. Moreover, OSM can contribute to environmental sustainability through resource management, climate change mitigation, and biod...
This chapter examined the governance framework of National Spatial Data Infrastructures in five South Asian countries: Bangladesh, India, Nepal, Pakistan, and Sri Lanka. It analyzed six key components—participation and consensus orientation, responsiveness and transparency, equity and accountability, effectiveness and efficiency, rule of law, and s...
Food security is a fundamental human right. Enhancing agricultural practices, lowering food waste, and ensuring equitable resource allocation are among the actions taken to ensure food security. VGI has developed into a helpful tool for data collection, assisting in tracking resource availability, monitoring price fluctuations, mapping community fo...
GIS plays a crucial role in helping decision-makers to analyze and interpret complex spatial data to make informed decisions. However, conventional GIS workflows are inadequate for managing the massive amounts of spatial data that are necessary for decision-making. This chapter discussed the transformative potential of AI and spatial data in enhanc...
The purpose of this paper is to focus on the important role of information sharing in advancing innovation that is presently missing in National Science, Technology and Innovation (STI) Policy of Pakistan approved in 2012. Information is a key resource for making innovations in science, technology and policies. Like other countries of the world, al...
Exploring the potential of VGI for community development and disaster response is the focus of this chapter. It examined the impact of VGI on community growth, including active participation, inclusivity, and trust-building. The use of the latest web technologies and the incorporation of spatial and temporal information are highlighted. The chapter...
Fog computing is a promising approach to address the challenges faced by traditional spatial data infrastructure when processing large-scale and real-time data. This chapter examined the opportunities and challenges of using fog computing in SDI through the service dominant logic framework. The study showed that fog computing can improve SDI by pro...
This chapter explored the use of social media geographic information in governance and policy-making. Social media geographic information has great potential to impact decision-making, citizen engagement, service delivery, crisis management, innovation, policy formation and evaluation, and public opinion assessment. However, challenges such as data...
In this chapter, a model of spatial sustainable entrepreneurship is presented by integrating sustainable development with entrepreneurship and spatial data. The model contributes to the three dimensions of sustainable development. Spatial data can promote economic sustainability by identifying opportunities, optimizing supply chains, and creating j...
Blockchain technology is gaining increasing attention across various industries, including healthcare, supply chain, education, business, logistics, disaster management, agriculture, tourism, and energy. As such, it is also becoming of interest to the spatial data infrastructure (SDI). This chapter explored the potential of blockchain technology fo...
Expression of interest for research collaboration
Dear Colleagues
There is an opportunity for research collaboration that will focus on Integrated Geospatial Information Management in Pakistan for:
• Development planning
• Disaster management
• Food Security
Expertise Needed
i. Experience in systematic literature review
ii. Data analysis skil...
Land is one of the four components of production for economic development in any country. Land administration helps the governments to eradicate poverty, protect human rights, and ensure food security. To do so, governments implement land administration systems. This chapter investigates the fitness of the recent initiative of the Government of Pak...
VGI emerged as a potential candidate to serve the local needs of small user groups of spatial data to enrich and complement authoritative spatial data disseminated through SDIs. The study investigated the usefulness of VGI for different spatial data themes in the context of SDI datasets, various factors of VGI for its inclusion in SDI, assessment a...
This Virtual Capacity Building Workshop will be jointly organized by the Survey of Pakistan and Geological Survey of Pakistan with the support of the Economic Cooperation Organization (ECO). It will be a six-session workshop held over three days. The program is designed to raise and improve awareness, knowledge, and understanding of the regional SD...
Spatial data infrastructures (SDIs) have been implemented for the last four decades in most countries. One of the key objectives of SDIs is to ensure the quick availability and accessibility of spatial data. The success of SDI depends on the underlying spatial datasets. Many developing countries such as Pakistan are facing problems in implementing...
Survey of Pakistan, a National Surveying & Mapping Organization invites the services of a Consultancy Firm under Single Stage-Two Envelop procedure for carrying out “Feasibility Study for Establishment of National Spatial Data Infrastructure (NSDI) for Pakistan”.
2. Bidding documents, comprising scope and objectives of the study, proposal evaluatio...
Successfully conducted capacity building workshop on Regional Spatial Data Infrastructure for sustainable development in ECO countries. Workshop material can be retrieved from:
https://drive.google.com/drive/folders/1as4ZM1wamX4JkziMzKYLVyQbxBBA9DRO
Country report about Geospatial Information Management in Pakistan, prepared for 11th Session of UN-GGIM 2021.
Survey of Pakistan, a National Surveying & Mapping Organization invites the services of a Consultancy Firm under Single Stage-Two Envelop procedure for carrying out “feasibility study for establishment of National Spatial Data Infrastructure (NSDI) for Pakistan”.
2. Bidding documents, comprising scope and objectives of the study, proposal evaluati...
Proposal submission date extended to 21 December, 2020 for hiring consultancy firms to carry out feasibility study for establishment of National Spatial Data Infrastructure (NSDI) of Pakistan
We are collecting data of firms which intends to participate in bidding for feasibility study for establishment of National Spatial Data Infrastructure (NSDI) for Pakistan.
The form is available at:
https://docs.google.com/forms/d/1NYT799yr5jKWrbXkRzkqmNRMJ7OVXMgPj1covEZJp08
Survey of Pakistan is seeking consultancy services for National Spatial Data Infrastructure (NSDI) for Pakistan.
TORs can also be downloaded from Survey of Pakistan website
http://sop.gov.pk/ or
https://www.ppra.org.pk/doc/2-9/9sop29-710.pdf
Information sharing to combat climate change
Volunteered Geographic Information is the term used to describe the process of collecting spatial data using a network of volunteers. The approach collects spatial data to build maps which are often freely accessible. The maps and the underlying data can be used by the public, companies and government agencies for a variety of tasks such as route f...
Why land administration is strategically important and challenging especially for developing countries such as Pakistan, what exactly are the barriers and how geospatial technologies, literature as well as best practices related to land administration can help to break the barriers? To address these questions, this paper investigates land administr...
The purpose of this paper is to focus on the important role of information sharing in advancing innovation that is presently missing in National Science, Technology and Innovation (STI) Policy of Pakistan approved in 2012. Information is a key resource for making innovations in science, technology and policies. Like other countries of the world, al...
Questions
Questions (6)
Hello everyone,
We are currently working on a research project related to National Spatial Data Infrastructure (NSDI), and We are in need of co-authors from India, Bangladesh, Iran, Nepal, Sri Lanka, Azerbaijan, Turkey, and Afghanistan who have expertise and interest in this area.
The aim of this research is to explore the challenges and opportunities for developing an NSDI in the aforementioned countries. We will be analyzing the existing NSDIs, policies, and strategies in these countries and identifying the gaps and challenges in their implementation. We will also be proposing recommendations and best practices to improve the NSDI implementation in these countries.
If you are interested in collaborating on this research project as a co-author and have expertise in the field of NSDI, please contact me as soon as possible. Your contribution will be highly appreciated, and we will acknowledge your contribution in the publication.
Thank you for your time and consideration. Looking forward to hearing from you soon.
Best regards,
Dr. Munir Ahmad
Hello , can i get the copy of chapter "Traditional vs. Machine Learning Techniques for OSM Quality Assessment" ?
