The use of conservation easements has been increasing in the United States. However, patterns of growth over time are different for individual states. Little is known on how determinants of conservation easements interact with one another and affect the choice of conservation approaches. The study objective was to analyze conservation easement trends and examine underlying choice determinants in the United States. Panel data models were employed to assess determinants of easement acres and contracts from 1995 to 2015. Findings revealed that the northern United States has the most percentage of land area under conservation easements. The growth in conservation easements was positively related to gross state products, land market values, air quality, and land use, while it was negatively related to state population density, conservation spending, easement duration and endangered species. Public policymakers would use these findings to integrate easement efforts into local planning to meet conservation and land-use objectives.

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Record keeping and management of electrical utilities inside buildings is an important aspect to ensure effective electrical distribution. The ability to find the location of each electrical feature inside a building and extract information about it helps to solve network problems faster. The use of a spatial database structure facilitates the maintenance and general operations of an electrical network across different buildings. The aim of this study is to design and develop a 3D data model to provide a management system for electrical utilities inside buildings. The geodatabase provides integrated information between different electrical components forming the network inside the specified buildings in the study area. A prototype called the PUK geodatabase was designed and developed for the NWU Potchefstroom Campus as a 3D data model. The data model consists of raster and vector data used in network datasets, relationship classes and topology rules. The aim of this project was accomplished through the 3D analysis capabilities of the model. The research determined that the prototype called the PUK geodatabase can be utilized as a 3D management system for electrical utilities across the different floor levels of a building. / Thesis (M.Sc. (Geography and Environmental Studies))--North-West University, Potchefstroom Campus, 2012

Baigiamajame magistro darbe nagrinėjama požeminių komunikacijų vizualizacija trimačiame modelyje. Šiame magistriniame darbe išnagrinėta 3D duomenų svarba ir pranašumas prieš 2D vizualizavimą. Buvo atliktas požeminių komunikacijų projektavimo tyrimas trima��io vaizdavimo programine įranga, ištirtas šių technologijų naudojimas užsienyje bei naudojimo perspektyvos Lietuvoje. Darbą sudaro 10 dalių: įvadas, informacijos vizualizavimo aplinkos, 3D duomenų modelio esmė, 3D programinės įrangos galimybės inžinerijoje,3D vizualizavimo programinė įranga,3D modeliavimo koordinačių sistemos, trimačio geoinformacinių sistemų modelio sudarymas, požeminių komunikacijų trimačio geoinformacinių sistemų modelio sudarymo metodika, požeminių komunikacijų duomenų surinkimo reikalavimai, požeminių komunikacijų 3D skaitmeninio modelio kūrimas, požeminių komunikacijų trimačio modelio naudojimas Lietuvoje ir pasaulyje,išvados, literatūros sąrašas. / In the magistrate thesis are researching visualization of Underground communications at 3D data model. In the thesis analyse 3D model data significance and advantage against 2D model data. Also researching program equipment projection of Underground communications 3D data model, technology usage in foreign countries and opportunities for use in Lithuania. Structure: introduction, information visualization surrounding, 3D data model essence, 3D data program equipment opportunity in the engineering, 3D data model equipment, 3D data model coordinate systems, 3D data model formation, formation model of underground communication at 3D data model, data assemblage standards of underground communications, underground communication 3D data model creation, 3D data model usage in the world and Lithuania, conclusions, references.

Record keeping and management of electrical utilities inside buildings is an important aspect to ensure effective electrical distribution. The ability to find the location of each electrical feature inside a building and extract information about it helps to solve network problems faster. The use of a spatial database structure facilitates the maintenance and general operations of an electrical network across different buildings. The aim of this study is to design and develop a 3D data model to provide a management system for electrical utilities inside buildings. The geodatabase provides integrated information between different electrical components forming the network inside the specified buildings in the study area. A prototype called the PUK geodatabase was designed and developed for the NWU Potchefstroom Campus as a 3D data model. The data model consists of raster and vector data used in network datasets, relationship classes and topology rules. The aim of this project was accomplished through the 3D analysis capabilities of the model. The research determined that the prototype called the PUK geodatabase can be utilized as a 3D management system for electrical utilities across the different floor levels of a building. / Thesis (M.Sc. (Geography and Environmental Studies))--North-West University, Potchefstroom Campus, 2012

This study suggests a two-step approach to identifying and interpreting regional convergence clubs in Europe. The first step involves identifying the number and composition of clubs using a space-time panel data model for annual income growth rates in conjunction with Bayesian model comparison methods. A second step uses a Bayesian space-time panel data model to assess how changes in the initial endowments of variables (that explain growth) impact regional income levels over time. These dynamic trajectories of changes in regional income levels over time allow us to draw inferences regarding the timing and magnitude of regional income responses to changes in the initial conditions for the clubs that have been identified in the first step. This is in contrast to conventional practice that involves setting the number of clubs ex ante, selecting the composition of the potential convergence clubs according to some a priori criterion (such as initial per capita income thresholds for example), and using cross-sectional growth regressions for estimation and interpretation purposes. (authors' abstract)

This thesis is a documentation of research on Geographical Information Technologies (GITs) as decision support tools in Road Infrastructure Maintenance (RIM) in Uganda. The main objective is to develop an operational framework within which the use of geo-information technologies can be enhanced as decision support tools in road infrastructure maintenance works of Uganda. Specifically, the research identifies the gaps and limitations in the use of and access to GITs for RIM and defines an algorithmic framework to accentuate the use of GITs in RIM. The research undertook a participatory multifaceted approach that included a review of documentation both in academia, in form of articles, journals, books, reports and research theses and also reports and documents prepared by the road infrastructure maintenance sector. Participant observations, field visits and measures, interviews and workshops were also triangularly employed to obtain the inherent answers. Content and GIS analyses were made to arrive at the findings that are documented in the papers which are part of the thesis. The gaps to using GITs in RIM have been found to include the lack of standardized datasets to address key nation-wide and local maintenance requirements, challenges on coordinating how geospatial data are acquired and utilized and the collection of duplicate data sets at the local and national levels. Also, the present institutional arrangements do not permit the formation of lasting partnerships and operating under a coordinated GIS infrastructure. The limitations to access of GITs in the sector include; the absence of policies for accessibility and standard use of GITs, lack of infrastructure to support utilization of geographic datasets, unavailability of and limited accessibility to geographic data, lack of geospatial capacity at individual and organizational levels and the digital divide. A nondeterministic algorithmic framework approach to the accentuation of GIT usage in RIM has been suggested. This framework involves strategies on; developing a policy on data collection guidelines emphasizing the use of GPS, satellite imagery and GIS, continuous undertaking of capacity building in the benefits of GIT use and the science involved, establishment of Local Spatial Data Infrastructures (LSDI) for road maintenance data and setting aside yearly budgets for the defined activities. In this framework, the dynamic segmentation data model is considered a superior data storage strategy for road maintenance data within the GIS. Dynamic Segmentation is the process of transforming linearly referenced data (also known as events) that have been stored in a table into features that can be displayed, queried and analyzed on the map through computations. It allows for the location of multiple events stored with linearly referenced attributes without any duplication with route geometry and in effect supports sharing of network infrastructure with different applications

2007年中次級房貸爆發後，美國信用評等機構的中立地位，受到質疑以及攻擊。回顧過去評等的，國際信評公司對美國恩隆(Enron)，在爆發前才降為「投機等級」；在亞洲金融危機發生之後，歐美信評公司普遍給予亞洲國家過低之評等，對亞洲地區經濟復甦造成一定程度之負面效應。一連串的金融事件引發了投資人對於信用評等效力的疑慮：信用評等還是能代表中立客觀的評價嗎？是否擁有較公開財務資料更多更完整的訊息？果真如此，對於問題的發生是否有發現及反應的能力？本研究利用相對買賣價差以及Panel data、Simultaneous Model檢測信用評等對股票流動性之影響，再進一步討論信評與財務結構的關係實證分析信用評等對台灣證券市場流動性存在正向關係，並且影響財務結構。本研究實証結果的價值是提供影響市場流動性的因素中，信用評等也是促成流動性的原因之ㄧ。信用評等所帶來的流動性提供了對投資者、金融機構以及資本市場更穩定並且更有效率的機制。

The research reported in this thesis is focused on the creation of a CAE system to support Reverse Engineering. It is centred around the computational representation of products (Product Model) and manufacturing capabilities (Manufacturing Model). These models are essential for modem and future software systems aimed to assist the design process, enabling data sharing among the participants who use various computational tools. Reverse Engineering is employed as a particular context and motivation for exploring the application of the models. The research builds on the achievements of the recently finished Model Oriented Simultaneous Engineering System (MOSES) project, undertaken jointly by Leeds University and the Department of Manufacturing Engineering of Loughborough University. MOSES' work on information modelling was analysed and combined together with the original proposals of the author to elaborate a suitable support to Reverse Engineering, applicable to redesign in general. A process for Reverse Engineering is proposed and documented and a data model driven CAE system to support it is specified. The CAE system includes a Product Model, a Manufacturing Model and two software application environments. The Product Model of the system is based on the information requirements of the Reverse Engineering process and is suitable for representing multi-component products, from different perspectives through its life cycle. The applications assist the characteristic activities of Reverse Engineering. In particular, the system is used for exploring the application of Product and Manufacturing Models in supporting Design for Manufacture. The theoretical research is tested by the use of a case study which explores the Reverse Engineering of a component. This work is supported by a prototype software instance of the CAE system. The case study component is an axle which forms part of a product designed and manufactured by a collaborating company.

The thesis aims at identifying the reasons behind the heterogeneous inflation performance of countries across Central and Eastern Europe. The impact of a large number of variables is being assessed in a dynamic panel data model covering 20 countries over the period 2003-2013. The empirical results suggest that cross-country differences in inflation are attributed to the structure of the economy, to the capital deepening effects and openness. Along with the structural factors, cyclical positions also prove to be of particular importance in explaining inflation across the region, since during the last decade most of the Central and Eastern European countries have experienced fast GDP growth, a credit boom and increased domestic demand that in turn fueled inflation.