The i-Tree Eco model, developed by the U.S. Forest Service, is commonly used to estimate the value of the urban forest and the ecosystem services trees provide. The model relies on field-based measurements to estimate ecosystem service values. However, the methods for collecting the field data required for the model can be extensive and costly for large areas, and data collection can thus be a barrier to implementing the model for many cities. This study investigated the use of geospatial technologies as a means to collect urban forest structure measurements within the City of Ottawa, Ontario. Results show that geospatial data collection methods can serve as a proxy for urban forest structure parameters required by i-Tree Eco. Valuations using the geospatial approach are shown to be less accurate than those developed from field-based data, but significantly less expensive. Planners must weigh the limitations of either approach when planning assessment projects.

C­lem t©to prce je zvit vkon sekvenÄn­ho prochzen­ adres v souborov©m syst©mu ext4. Datov struktura HTree, jen je v souÄasn© dobÄ pouita k implementaci adresu v ext4 zvld velmi dobe nhodn© p­stupy do adrese, avak nen­ optimalizovna pro sekvenÄn­ prochzen­. Tato prce pin­ analzu tohoto probl©mu. Nejprve studuje implementaci souborov©ho syst©mu ext4 a dal­ch subsyst©mu Linuxov©ho jdra, kter© s n­m souvis­. Pro vyhodnocen­ vkonu souÄasn© implementace adresov©ho indexu byla vytvoena sada test. Na zkladÄ vsledk tÄchto test bylo navreno een­, kter© bylo nslednÄ implementovno do Linuxov©ho jdra. V zvÄru t©to prce naleznete vyhodnocen­ p­nosu a porovnn­ vkonu nov© implementace s dal­mi souborovmi syst©my v Linuxu.