Metacommunity connectivity, i.e., multi-species dispersal events, is vital to metapopulation persistence in patchy landscapes. Assessments of metacommunity connectivity are not trivial. However, a relationship between trophic rank and the species-area relationship has been found in previous studies, allowing for the use of the predator species-area relationship to act as a surrogate measure of actual metacommunity connectivity of prey species in some systems. For this study, avian species were selected as they are generalist top predators within the study system. Predator species richness within geographically isolated freshwater marshes is influenced by a number of factors. I explore the relative roles of patch area, seasonality, hydroperiod, isolation, and vegetation structure on habitat use in the isolated freshwater marshes embedded within the dry prairie ecosystem of Central Florida. Predator species richness was surveyed in 50 sites for three seasons: fall 2005, winter 2005/06, and spring 2006 and the observed avian assemblage measures were subdivided into foraging guilds for analysis. Wading guild (e.g., egrets, herons, bitterns) species richness was correlated with hydroperiod and vegetation structural variables while perching guild (e.g., blackbirds, sparrows, meadowlarks) species richness was correlated with isolation, hydroperiod, and area annually. Overall predator and all guild species richness measures were also correlated with patch area for all seasons. These results suggest that while a complex mixture of patch area, hydroperiod and isolation influence habitat utilization that varies by season and at the community, guild and individual species level, the underlying predictors that define habitat use in wetlands annually includes hydroperiod, and is not exclusively patch area. Additionally, seasonal differences in predator species richness were found to be significant in some cases indicating that future avian population studies may benefit by sampling outside of the normally studied spring breeding season. Results of this study support the use of predator species richness as a suitable assay of metacommunity connectivity of prey species. Applications and implications of this approach toward future conservation efforts are discussed.

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The spatial distribution of future population and employment has become a focus of recent academic enquiry and planning policy concerns. This is largely driven by the rapid urban expansion in major Australian cities and the need to plan ahead for new housing growth and demand for urban infrastructure and services. At a national level forecasts for population and employment are produced by the government and research institutions; however there is a further need to break these forecasts down to a disaggregate geographic scale for growth management within regions. Appropriate planning for the urban growth needs forecasts for fine-grained spatial units. This thesis has developed methodologies to predict the future settlement of the population, employment and urban form by applying a spatial disaggregation approach. The methodology uses the existing regional forecasts reported at regional geographic units and applies a novel spatially-based technique to step-down the regional forecasts to smaller geographical units. South East Queensland (SEQ) is the experimental context for the methodologies developed in the thesis, being one of the fastest-growing metropolitan regions in Australia. The research examines whether spatial disaggregation methodologies that can be used to enhance the forecasts for urban planning purposes and to derive a deeper understanding of the urban spatial structure under growth conditions. The first part of this thesis develops a method by which the SEQ population forecasts can be spatially disaggregated. This is related to a classical problem in geographical analysis called to modifiable area unit problem, where spatial data disaggregation may give inaccurate results due to spatial heterogeneity in the explanatory variables. Several statistical regression and dasymetric techniques are evaluated to spatially disaggregate population forecasts over the study area and to assess their relative accuracies. An important contribution arising from this research is that: i) it extends the dasymetric method beyond its current simple form to techniques that incorporate more complex density assumptions to disaggregate the data and, ii) it selects a method based on balancing the costs and errors of the disaggregation for a study area. The outputs of the method are spatially disaggregated population forecasts across the smaller areas that can be directly used for urban form analysis and are also directly available for subsequent employment disaggregation. The second part in this thesis develops a method to spatially disaggregate the employment forecasts and examine their impact on the urban form. A new method for spatially disaggregating the employment data is evaluated; it analyses the trend and spatial pattern of historic regional employment patterns based on employment determinants (for example, the local population and the proximity of an area to a shopping centre). The method we apply, namely geographically weighted regression (GWR), accounts for spatial effects of data autocorrelation and heterogeneity. Autocorrelation is where certain variables for employment determinants are related in space, and hence violate traditional statistical independence assumptions, and heterogeneity is where the associations between variables change across space. The method uses a locally-fitted relationship to estimate employment in the smaller geography whilst being constrained by the regional forecast. Results show that, by accounting for spatial heterogeneity in the local dependency of employment, the GWR method generates superior estimates over a global regression model. The spatially disaggregate projections developed in this thesis can be used to better understand questions on urban form. From a planning perspective, the results of spatial disaggregation indicate that the future growth of the population for SEQ is likely to maintain a spatially-dispersed growth pattern, whilst the employment is likely to follow a more polycentric distribution focused around the new activity centres. Overall, the thesis demonstrates that the spatial disaggregation method can be applied to supplement the regional forecasts to seek a deeper understanding of the future urban growth patterns. The development, application and validation of the spatial disaggregation methods will enhance the planner’s toolbox whilst responding to the data issues to inform urban planning and future development in a region.

abstract: As technology enhances our communication capabilities, the number of distributed teams has risen in both public and private sectors. There is no doubt that these technological advancements have addressed a need for communication and collaboration of distributed teams. However, is all technology useful for effective collaboration? Are some methods (modalities) of communication more conducive than others to effective performance and collaboration of distributed teams? Although previous literature identifies some differences in modalities, there is little research on geographically distributed mobile teams (DMTs) performing a collaborative task. To investigate communication and performance in this context, I developed the GeoCog system. This system is a mobile communications and collaboration platform enabling small, distributed teams of three to participate in a variant of the military-inspired game, "Capture the Flag". Within the task, teams were given one hour to complete as many "captures" as possible while utilizing resources to the advantage of the team. In this experiment, I manipulated the modality of communication across three conditions with text-based messaging only, vocal communication only, and a combination of the two conditions. It was hypothesized that bi-modal communication would yield superior performance compared to either single modality conditions. Results indicated that performance was not affected by modality. Further results, including communication analysis, are discussed within this paper. / Dissertation/Thesis / M.S. Applied Psychology 2012

Abstract Technological advancement in the field of information-and-communication technologies (ICT) was rapid during the first decade of the new millennium. Universities started to use the new information-and-communication technologies more in their core processes, which speeded up their transformation from the traditional campus mode toward virtual universities. Research done in this thesis first investigates the traditional campus university’s change process toward the virtual university model. During the implementation process a geographically distributed e-learning concept was also developed for university use. This concept was transferred and researched in the small and medium enterprise (SME) context in the last part of this research. In large and complex organizations such as universities, it is difficult to find out how the change really was implemented. The literature on change management is voluminous but is dominated by descriptions of single projects. To overcome the limitations of such case studies, this research applies a longer and wider perspective to the change process and, by the introduction of an overarching method that categorizes the investments, shows more clearly the trends, stages of, and the barriers to the development. This long-term study is based on 116 development projects during a ten-year period in a decentralized and networked development environment. In the company setting, conventional training is being replaced more and more by e-learning. To scaffold SMEs in their e-learning adaptation, the concept of e-learning was transferred to the SME environment. The company cases’ part of the thesis presents how the transferability of geographically distributed e-learning concept was developed and tested in the SME environment. As a result, the principles that guided ICT strategy implementation and how the strategies were implemented during a ten-year period are presented. The concept for geographically distributed e-learning environments and its development are also introduced. Finally, the process and results from the concept implementation to the SME environment are presented. This thesis presents university management with an understanding of how larger long-term trends give us the possibility to better understand today’s fast-paced changes. It also gives company managers an example of how models developed in the university environment can be transferred to the company environment. / Tiivistelmä Tietotekniikan kehitys on ollut nopeaa vuosituhannen vaihteen jälkeen monilla aloilla. Yliopistoissa sitä on alettu käyttää yhä enemmän osana perustoimintoja, mikä on edistänyt niiden kehitystä traditionaalisista kampusyliopistoista kohti virtuaaliyliopistoja. Tämän tutkimuksen ensimmäisessä osassa on tarkasteltu perinteisen kampusyliopiston muutosprosessia kohti aktiivisesti uutta teknologiaa hyödyntävää yliopistoa ja toisessa osassa muutosten yhtenä tuloksena syntynyt konsepti siirrettiin yritysympäristöön. Yliopistossa muutos toteutettiin määrittelemällä ensin tavoitteet strategioiksi ja sen jälkeen niiden toimeenpanoprosessin avulla. Suurissa organisaatioissa, kuten yliopistoissa, on vaikea hahmottaa kuinka muutokset todellisuudessa toteutetaan. Kirjallisuutta ja tutkimusta organisaatiomuutoksen toteuttamisesta on paljon, mutta suuri osa siitä keskittyy tarkastelemaan yhden projektin aikana tapahtunutta muutosta. Tässä tutkimuksessa on pyritty esittämään laajempi ja pitkäkestoisempi kuva muutosprosessista. Tutkimus pohjautuu 116 kehitysprojektin saamaan rahoitukseen kymmenen vuoden ajalta. Sen avulla on tarkasteltu yliopiston kehitystrendejä ja keskeisiä kehityskohteita. Rahoitus on jaettu projekteille strategioissa määriteltyjen tavoitteiden mukaisesti strategioiden toimeenpanemiseksi. Osana toimeenpanoprosessia syntyi yliopistokäyttöön maantieteellisesti hajautetun oppimisympäristön konsepti. Yritysympäristössä perinteinen koulutus on korvattu yhä useammin teknologiaa hyödyntävillä koulutuksen muodoilla. Pienillä ja keskisuurilla yrityksillä on kuitenkin varsin rajoitetut resurssit koulutuksessa käytettävien teknologioiden käyttöönottoon ja tehokkaaseen käyttöön. Tämän tutkimuksen toisessa osassa yrityksen maantieteellisesti hajautetun oppimisympäristön käyttöönottoa pyrittiin tukemaan tarjoamalla sen käyttöön valmis yliopistoympäristössä kehitetty konsepti. Tämän konseptin siirrettävyyttä ja käyttöönottoa tutkittiin tutkimuksen toisessa osassa. Tämän tutkimuksen tuloksena esitetään periaatteet, jotka ohjasivat yliopiston tieto- ja viestintätekniikan opetuskäytön strategian laadintaa ja toimeenpanoa vuosina 2000–2009. Lisäksi esitellään maantieteellisesti hajautetun oppimisympäristön konsepti. Lopuksi esitellään konseptin käyttöönottoa yritysympäristössä. Tämä väitöskirja esittelee yliopiston johdolle ja toimijoille, kuinka pitkäkestoisten trendien tunteminen auttaa ymmärtämään nykyhetkeä ja sen nopeita muutoksia. Yritysjohdolle väitöskirja tarjoaa esimerkin, kuinka yliopistoympäristöön kehitetty konsepti voidaan siirtää yritysympäristöön.

This master thesis deals with the analysis of housing prices in Prague. The main goal is to identify and explain the factors which have an influence on the prices of flats at the macro and micro level. Two spatial statistic methods, namely multiple linear regressions and geographically weighted regressions (GWR), are used in the first part of the thesis, which deals with the prices in Prague in general. The influence on the values of flats in Prague basic settlement units caused by several factors such as the distance from the Old Town Square, age of dwellings, the presence of migrants or air pollution was investigated using these two methods. The price map of the association of real estate agencies, the Czech Statistical Office and the Prague Institute of Planning and Development provided the data used in the presented research. Price profiles from the centre of Prague to the suburbs in various directions were also created and analyzed. Factors with an influence on housing prices at the micro level in a case study of the Prague cadastral territory of Modřany are described in the second part of the thesis. The analysis of new developer projects and older flats in panel houses investigates the influence on the housing prices caused by factors such as noise, physical condition of apartments and the quality of...

abstract: Geographically Weighted Regression (GWR) has been broadly used in various fields to model spatially non-stationary relationships. Classic GWR is considered as a single-scale model that is based on one bandwidth parameter which controls the amount of distance-decay in weighting neighboring data around each location. The single bandwidth in GWR assumes that processes (relationships between the response variable and the predictor variables) all operate at the same scale. However, this posits a limitation in modeling potentially multi-scale processes which are more often seen in the real world. For example, the measured ambient temperature of a location is affected by the built environment, regional weather and global warming, all of which operate at different scales. A recent advancement to GWR termed Multiscale GWR (MGWR) removes the single bandwidth assumption and allows the bandwidths for each covariate to vary. This results in each parameter surface being allowed to have a different degree of spatial variation, reflecting variation across covariate-specific processes. In this way, MGWR has the capability to differentiate local, regional and global processes by using varying bandwidths for covariates. Additionally, bandwidths in MGWR become explicit indicators of the scale at various processes operate. The proposed dissertation covers three perspectives centering on MGWR: Computation; Inference; and Application. The first component focuses on addressing computational issues in MGWR to allow MGWR models to be calibrated more efficiently and to be applied on large datasets. The second component aims to statistically differentiate the spatial scales at which different processes operate by quantifying the uncertainty associated with each bandwidth obtained from MGWR. In the third component, an empirical study will be conducted to model the changing relationships between county-level socio-economic factors and voter preferences in the 2008-2016 United States presidential elections using MGWR. / Dissertation/Thesis / Doctoral Dissertation Geography 2020

One of the key concerns in spatial analysis and modelling is to study and analyse similarities or dissimilarities between places over geographical space. However, ”global“ spatial models may fail to identify spatial variations of relationships (spatial heterogeneity) by assuming spatial stationarity of relationships. In many real-life situations spatial variation in relationships possibly exists and the assumption of global stationarity might be highly unrealistic leading to ignorance of a large amount of spatial information. In contrast, local spatial models emphasise differences or dissimilarity over space and focus on identifying spatial variations in relationships. These models allow the parameters of models to vary locally and can provide more useful information on the processes generating the data in different parts of the study area. In this study, a framework for localising spatial interaction models, based on geographically weighted (GW) techniques, has been developed. This framework can help in detecting, visualising and analysing spatial heterogeneity in spatial interaction systems. In order to apply the GW concept to spatial interaction models, we investigate several approaches differing mainly in the way calibration points (flows) are defined and spatial separation (distance) between flows is calculated. As a result, a series of localised geographically weighted spatial interaction (GWSI) models are developed. Using custom-built algorithms and computer code, we apply the GWSI models to a journey-to-work dataset in Switzerland for validation and comparison with the related global models. The results of the model calibrations are visualised using a series of conventional and flow maps along with some matrix visualisations. The comparison of the results indicates that in most cases local GWSI models exhibit an improvement over the global models both in providing more useful local information and also in model performance and goodness-of-fit.