This research study is based on the cluster system model for effective management of schools in Namibia. with special reference to Erongo Education Region. The cluster system introduces a new perspective on the way the schools arc managed. It radically differs from the historically isolated school, employing individualistic approaches and management practices characterised by strong hierarchical structures and top down decision-making. The cluster system advocates shared decision-making, teamwork, collaboration. integration and networking. In other words clustering provides a superb climate for teachers, principals, parents and learners to interface with one another within a legitimate framework. Clustering is an effective management model that has also been implemented in developed countries such as England, the Netherlands and the United States of America. The research study involved 60 principals as respondents to a questionnaire on the cluster system, its problems and prospects. The major findings indicate that clustering enhances the quality of education through sharing of resources, exchange of ideas among teachers, and closer cooperation between schools. The study identifies numerous challenges in the implementation of the cluster system. These challenges include disparity between schools in the rural and urban areas, lack of reliable transport, lack of facilities and teaching materials in most schools, large distances between schools, teacher isolation and increased workload among personnel. However, if the challenges and prospects of clustering are put on a simple scale, the latter would probably outweigh the former completely. This means that clustering holds encouraging prospects for the education system in Namibia in general and Erongo Education Region in particular. An important finding in this regard is that the majority of the principals in the Erongo Education Region agree that the cluster system has the potential to champion and transcend in effective management of all schools within cluster centres. / Thesis (M.Ed.)--North-West University, Potchefstroom Campus, 2006.

Darbo objektas: turizmo klasterio formavimas Kuršių nerijoje. Darbo tikslas: išanalizuoti turizmo klasterio formavimo prielaidas Kuršių nerijoje. Darbo uždaviniai: 1. Išanalizuoti turizmo svarbą regiono plėtrai. 2. Pateikti klasterių formavimosi prielaidas. 3. Atskleisti klasterių vaidmenį regiono konkurencingumui. 4. Įvertinti turizmo klasterio formavimo(si) Kuršių nerijoje galimybes. 5. Sukurti Kuršių nerijos turizmo klasterio modelį. Tiriamasis klausimas: kokios yra turizmo klasterio formavimo prielaidos Kuršių nerijoje? Hipotezė: rekreacijos plėtros procesai Kuršių nerijoje suformuoja prielaidas atsirasti turizmo klasteriui šiame regione. Svarbiausios išvados: • Siekis tapti produktyvesne ir pelningesne įmone bei turėti ilgalaikę veiklos perspektyvą yra svarbiausia priežastis, kodėl įmonės stengiasi tapti klasterio narėmis. Glaudūs klasterio narių tarpusavio ryšiai padidina atskirų narių veiklos efektyvumą, todėl ir galutinis bendras rezultatas yra didesnis nei tas, kuris būtų, jei kiekvienas narys veiktų atskirai. Klasteriai įvairiais aspektais padeda spręsti kvalifikuotų ir motyvuotų darbuotojų stygiaus ar kitų specializuotų išteklių problemą, sukuria prielaidas koncentruoti narių finansinius išteklius bendriesiems projektams, be to, klasterizuotuose regionuose formuojasi informaciniai tinklai, kuriais sklinda visa įmonėms aktuali tiek formalaus, tiek neformalaus pobūdžio informacija, specializuotos žinios. • Klasteriai regionų konkurencingumą veikia padidindami... [toliau žr. visą tekstą] / The object of the study: tourism cluster in the Curonian Spit. The aim of the study: analyze assumptions of tourism cluster in the Curonian Spit. The objectives of the study: 1. To analyze the importance of tourism to the region's development. 2. To present assumptions of cluster formation. 3. To reveal the role of clusters to regional competitiveness. 4. To rate tourism cluster formation opportunities in Curonian spit. 5. To create tourism cluster model of Curonian spit. Research question: what are the preconditions for the emergence of the tourism cluster in Curonian spit? Hypothesis: recreation development processes in Curonian spit forms the preconditions for the emergence of a tourism cluster in the region. Main conclusions: Desire to become more productive and more profitable company and have a long term business perspective is the main reason why companies are trying to become cluster members. The close ties between members of the cluster increases the efficiency of the individual members, so the final total result is greater than that which would be provided by each member alone. Clustering helps to deal with various aspects of qualified and motivated staff shortages or other specialized resources problem. It creates preconditions for members to concentrate financial resources for common projects, by the way in addition to clustered regions forming of the information networks, which is spreading all relevant enterprises in both the formal and informal information... [to full text]

The present study investigated whether cluster potentials could be identified in the geographical area within the boundaries of Samsun province, and if identified, how such a potential could be promoted through corresponding support measures. Development of policy recommendations for promotion of identified cluster potential was the principal goal of the study. The course of the study was characterized by a cluster-based policy-making process in the policy environment, i.e. Samsun province. The process includes a descriptive part, i.e. cluster analysis, and a prescriptive part, i.e. determining policy goals and designing policy instruments. In the literature review, a guide to the field study was developed by review of various approaches to cluster concept / common features of clusters and the competitive advantages these give rise to / various practices in cluster-based policy development, and various cluster analysis methods. The field study starts with the initial identification of need for policy intervention, at which stage the rationale for pursuing a cluster-based policy in the specific conditions of Samsun and Turkey was discussed. The &ldquo / clusters as sectors&rdquo / approach was utilized in the identification of region&rsquo / s (potential) clusters and selection of the cluster as the subject of analysis and policy development. The analysis of industrial sectors in Samsun&rsquo / s economy was followed by selection of the target sector via employing various criteria assessing the importance of these sectors in terms of value added to the regional economy, and the clustering potential. Accordingly, furniture sector was selected, and the agglomeration of furniture sector enterprises in Kutlukent locality was identified as the potential cluster to be the subject of analysis and policy development. Following the identification of the potential cluster, the descriptive part was completed by second-stage micro-level analysis of the identified potential cluster, by which detailed information about the potential cluster was presented. At that phase, cluster potential of the structure was assessed by examining the elements in cluster value and production chain / public and private business support infrastructure / the flow of materials and goods in the chain / untraded relationships between the elements / characteristics of enterprises and workforce / and innovation performance. This comprehensive in-depth analysis of the cluster provided the required information to identify the specific needs of the cluster for cluster-based policy intervention. In the last part of the thesis, i.e. prescriptive part, cluster-oriented policy recommendations were developed including the determination of policy goal and the design/selection of policy instruments. The necessary information was collected by two-stage expert interviews, and by overall scan of the enterprises involved in the cluster via enterprise survey, which was realized in interviews with all of the enterprises. Six experts and 283 enterprises participated in the study. The results of the analysis showed that, while Kutlukent furniture cluster had some features, which are common in effective cluster models, the cluster lacks some critical features, which are crucial for effective functioning of a successful cluster. Hence, Kutlukent furniture cluster was defined as a &ldquo / potential&rdquo / cluster, which should be promoted by utilizing the existing potentials and strengths, and by addressing the weaknesses and obstacles identified in the analysis of the cluster, via appropriate cluster-oriented policy measures, which were proposed in the prescriptive part of the policy-making process. By these measures, the elements of Kutlukent potential cluster would be able to realize competitive advantages associated with clustering as in successful cluster models.

Universiẗat, Diss.--Klagenfurt.

Diss. (sammanfattning) Stockholm : Karol. inst., 2005. / Härtill 6 uppsatser.

Thesis (M.S.)--Miami University, Dept. of Physics, 2008. / Title from first page of PDF document. Includes bibliographical references (p. 39-40).

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior / In this work the synthesis and structural analysis of new copper(I) phenylchalcogenolate clusters will be presented. The reaction between sodium phenylchalcogenolate and copper(I) chloride generates a basic building block [Cu(EPh)]∞ (E= Se, Te) which reacts with N-donor bidentate ligands (bpy = 2,2 -bipyridine and phen = 1,10-phenantroline) to generate new compounds. Methodologies known in the literature include one-pot reaction of silyl-phenylchalcogenolates sources (PhESiMe3) with copper(I) salts and ancilliary phosphine ligands, as main route for synthesis of the clusters. This work will present how the formation of copper(I) phenylchalcogenolate in situ reveal itself as an alternate method for the synthesis of target compounds. Satisfactory results were obtained for [Cu6(bpy)2(μ-SePh)2(μ3-SePh)4]∙(THF) (1), {[Cu2(bpy)2(μ3-SePh)][CuCl2]}2 (2), {[Cu4(phen)3(μ-SePh)(μ3-SePh)(μ-Cl)][CuCl2]}2(PhSe)2 (3), [Cu3(bpy)3(μ4-TePh)3(CuCl)2] (4) and [Cu3(phen)3(μ3-TePh)3(CuCl)] (5). Structural analysis in solid state for these clusters were performed by X-ray diffraction. All the compounds obtained were additionally characterized by infrared spectroscopy and elemental analysis. / Neste trabalho será apresentada a síntese e análise estrutural de novos clusters derivados de fenilcalcogenolato de cobre(I). A reação da espécie fenilcalcogenolato de sódio com cloreto de cobre(I) gera um bloco de montagem básico [Cu(EPh)]∞ (E= Se, Te) que ao reagir com ligantes nitrogenados bidentados (bpy = 2,2 -bipiridina e phen= 1,10-fenantrolina) originam novos clusters. Metodologias apresentadas na literatura envolvem a reação one-pot de derivados de silil-fenilcalcogenolatos (PhESiMe3), sais de cobre(I) e ligantes fosfina auxiliares, como rota principal para obtenção de clusters. Nesse trabalho será apresentado como a formação prévia de fenilcalcogenolato de cobre(I) in situ revela-se uma fonte alternativa viável para a síntese dos compostos-alvo. Resultados satisfatórios foram obtidos para [Cu6(bpy)2(μ-SePh)2(μ3-SePh)4]∙(THF) (1), {[Cu2(bpy)2(μ3-SePh)][CuCl2]}2 (2), {[Cu4(phen)3(μ-SePh)(μ3-SePh)(μ-Cl)][CuCl2]}2(PhSe)2 (3), [Cu3(bpy)3(μ4-TePh)3(CuCl)2] (4) e [Cu3(phen)3(μ3-TePh)3(CuCl)] (5). Efetuou-se o estudo estrutural desses compostos no estado sólido, utilizando como análise principal a difração de raios-X em monocristal. Os compostos obtidos foram caracterizados por espectroscopia no infravermelho e análise elementar.

Submitted by JOSÉ WILLIAM ZUCCHI null (jwzucchi@hotmail.com) on 2018-04-02T23:13:39Z No. of bitstreams: 1 Dissertação Mestrado José W. Zucchi.pdf: 2342865 bytes, checksum: 860bbd3c7b2672c61b7ca6b121b0e8f9 (MD5) / Approved for entry into archive by Luciana Pizzani null (luciana@btu.unesp.br) on 2018-04-03T12:55:11Z (GMT) No. of bitstreams: 1 zucchi_jw_me_bot.pdf: 2342865 bytes, checksum: 860bbd3c7b2672c61b7ca6b121b0e8f9 (MD5) / Made available in DSpace on 2018-04-03T12:55:11Z (GMT). No. of bitstreams: 1 zucchi_jw_me_bot.pdf: 2342865 bytes, checksum: 860bbd3c7b2672c61b7ca6b121b0e8f9 (MD5) Previous issue date: 2018-02-28 / Introdução: Os pacientes com doença pulmonar obstrutiva crônica (DPOC) exibem características clínicas heterogêneas que estão associados a diferentes respostas a tratamentos e prognósticos. A complexidade da doença faz com que sejam buscadas ferramentas alternativas como o agrupamento de cluster para a identificação de características específicas e que possam tratadas diferentemente dentro da mesma doença. Entretanto, ainda são escassos dados da América Latina em relação aos possíveis clusters da DPOC. Objetivo: Avaliar os possíveis clusters na DPOC em dois centros de estudo no Brasil. Métodos: Os pacientes foram submetidos à avaliação composta por doenças associadas, Índice de Charlson, composição corporal, fármacos atuais, história de tabagismo (anos/maço), monóxido de carbono exalado, histórico de exacerbações/ hospitalizações no último ano, espirometria, teste de caminhada de seis minutos, questionários de qualidade de vida, dispneia e escala hospitalar de ansiedade e depressão. Também foram coletadas amostras de sangue para dosagens de proteína C reativa (PCR), gases sanguíneos, análise laboratorial e hemograma. Resultados: Foram avaliados 334 pacientes portadores de sintomas respiratórios e fator de risco para DPOC. Desse total, 13 pacientes foram excluídos do estudo por não terminarem o protocolo, 20 pacientes sem diagnóstico de DPOC e 10 por não terem sido classificados em nenhum cluster. Assim, foram incluídos 291 pacientes [53,6% homem, 67,5 ± 9,6 anos e volume expiratório forçado no primeiro segundo (VEF1) = 45,5 ± 17,9]. Para a construção dos clusters foram selecionadas 13 variáveis continuas e realizado análise com o método de Ward e método K means que determinaram quatro clusters. O primeiro cluster foi caracterizado por menor gravidade sintomática e funcional da doença, o segundo grupo por maior valor de eosinófilos periféricos, o terceiro grupo por serem mais inflamados sistemicamente e o quarto grupo por serem com maior gravidade obstrutiva e pior troca gasosa. O cluster 2 apresentou média de 959± 3 eosinófilos periféricos, cluster 3 apresentou maior prevalência de depleção nutricional (46,1%) e o cluster 4 apresentou maior índice BODE. Em relação as comorbidades associadas identificamos que apenas a síndrome de apneia obstrutiva do sono e o tromboembolismo pulmonar foram mais prevalentes no cluster 4. Conclusão: As manifestações clínicas e comorbidades associadas da DPOC identificadas nos quatros diferentes clusters deste estudo mostram as características heterogêneas da doença e isso pode estar relacionado à desfechos prognósticos diferentes em cada cluster podem diferenciar o tratamento em cada agrupamento com maior efetividade. / Introduction: Patients with chronic obstructive pulmonary disease (COPD) exhibit heterogeneous clinical features that are associated with different responses to treatments and prognoses. The complexity of the disease causes alternative tools such as clustering to identify specific characteristics and that can be treated differently within the same disease. However, there are still little data from Latin America regarding possible clusters in COPD. Objective: To evaluate possible clusters in COPD in two Brazilian centers. Methods: We assesses the comorbidities, Charlson's index, body composition, pharmacological treatment, smoking history (pack-years), exhaled carbon monoxide, exacerbations/hospitalizations rate in the last year, spirometry, six-minute walk test, quality of life questionnaires, dyspnea and hospital anxiety and depression scale. We also collected blood gases, laboratory and blood counts. Results: A total of 334 patients with respiratory symptoms and a risk factor for COPD were evaluated. From the total, 13 patients were excluded from the study because they didn’t complete the protocol, 20 patients without a diagnosis of COPD and 10 because they were not classified in any cluster. Thus, 291 patients were included [53.6% male, 67.5 ± 9.6 years and forced expiratory volume in the first second (FEV1) = 45.5 ± 17.9]. For the construction of the clusters, 13 continuous variables were selected and an analysis was performed with the Ward method and K method, which determined four clusters. The first cluster was characterized by lower symptomatic and mild COPD. The second cluster was characterized by higher value of peripheral eosinophils, the third cluster with systemic inflammation and the fourth cluster had severe COPD and worst gas exchange. Cluster 2 presented a mean of 959 ± 3 peripheral eosinophils, cluster 3 presented a higher prevalence of nutritional depletion (46.1%) and cluster 4 presented higher BODE index. In relation to the associated comorbidities, we identified that only obstructive sleep apnea syndrome and pulmonary thromboembolism were more prevalent in cluster 4. Conclusion: The clinical manifestations and associated comorbidities of COPD identified in the four different clusters of this study show the heterogeneous characteristics of the disease and this may be related to different outcomes and treatment.

Orientador: Suzana Erico Tanni Minamoto / Resumo: Introdução: Os pacientes com doença pulmonar obstrutiva crônica (DPOC) exibem características clínicas heterogêneas que estão associados a diferentes respostas a tratamentos e prognósticos. A complexidade da doença faz com que sejam buscadas ferramentas alternativas como o agrupamento de cluster para a identificação de características específicas e que possam tratadas diferentemente dentro da mesma doença. Entretanto, ainda são escassos dados da América Latina em relação aos possíveis clusters da DPOC. Objetivo: Avaliar os possíveis clusters na DPOC em dois centros de estudo no Brasil. Métodos: Os pacientes foram submetidos à avaliação composta por doenças associadas, Índice de Charlson, composição corporal, fármacos atuais, história de tabagismo (anos/maço), monóxido de carbono exalado, histórico de exacerbações/ hospitalizações no último ano, espirometria, teste de caminhada de seis minutos, questionários de qualidade de vida, dispneia e escala hospitalar de ansiedade e depressão. Também foram coletadas amostras de sangue para dosagens de proteína C reativa (PCR), gases sanguíneos, análise laboratorial e hemograma. Resultados: Foram avaliados 334 pacientes portadores de sintomas respiratórios e fator de risco para DPOC. Desse total, 13 pacientes foram excluídos do estudo por não terminarem o protocolo, 20 pacientes sem diagnóstico de DPOC e 10 por não terem sido classificados em nenhum cluster. Assim, foram incluídos 291 pacientes [53,6% homem, 67,5 ± 9,6 anos e volume expi... (Resumo completo, clicar acesso eletrônico abaixo) / Abstract: Introduction: Patients with chronic obstructive pulmonary disease (COPD) exhibit heterogeneous clinical features that are associated with different responses to treatments and prognoses. The complexity of the disease causes alternative tools such as clustering to identify specific characteristics and that can be treated differently within the same disease. However, there are still little data from Latin America regarding possible clusters in COPD. Objective: To evaluate possible clusters in COPD in two Brazilian centers. Methods: We assesses the comorbidities, Charlson's index, body composition, pharmacological treatment, smoking history (pack-years), exhaled carbon monoxide, exacerbations/hospitalizations rate in the last year, spirometry, six-minute walk test, quality of life questionnaires, dyspnea and hospital anxiety and depression scale. We also collected blood gases, laboratory and blood counts. Results: A total of 334 patients with respiratory symptoms and a risk factor for COPD were evaluated. From the total, 13 patients were excluded from the study because they didn’t complete the protocol, 20 patients without a diagnosis of COPD and 10 because they were not classified in any cluster. Thus, 291 patients were included [53.6% male, 67.5 ± 9.6 years and forced expiratory volume in the first second (FEV1) = 45.5 ± 17.9]. For the construction of the clusters, 13 continuous variables were selected and an analysis was performed with the Ward method and K method, which dete... (Complete abstract click electronic access below) / Mestre

Submitted by M?rden L?les (marden.inacio@ufvjm.edu.br) on 2016-07-21T18:35:27Z No. of bitstreams: 2 license_rdf: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5) Diego_dos_Santos_Vieira.pdf: 3296114 bytes, checksum: b738df6d293269169107da9a2300aaa3 (MD5) / Approved for entry into archive by Rodrigo Martins Cruz (rodrigo.cruz@ufvjm.edu.br) on 2016-07-22T17:07:03Z (GMT) No. of bitstreams: 2 license_rdf: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5) Diego_dos_Santos_Vieira.pdf: 3296114 bytes, checksum: b738df6d293269169107da9a2300aaa3 (MD5) / Made available in DSpace on 2016-07-22T17:07:03Z (GMT). No. of bitstreams: 2 license_rdf: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5) Diego_dos_Santos_Vieira.pdf: 3296114 bytes, checksum: b738df6d293269169107da9a2300aaa3 (MD5) Previous issue date: 2015 / Coordena??o de Aperfei?oamento de Pessoal de N?vel Superior (CAPES) / Objetivou-se nesta pesquisa investigar a estrutura e padr?o espacial de uma ?rea de floresta periodicamente inund?vel e suas esp?cies dominantes, de modo a contribuir para defini??o de estrat?gias de manejo e conserva??o (?rea I); analisar a estrutura diam?trica, padr?o espacial e m?todos de amostragem para estimar a densidade de Bertholletia excelsa Bonpl. na Regi?o do Baixo Rio Tapaj?s (?rea II). A ?rea I trata-se de um t?pico fragmento de Floresta Ombr?fila Densa Aluvial utilizado para atender os objetivos do cap?tulo 2, enquanto que a ?rea II representa uma Floresta Ombr?fila Densa de Terra Firme utilizada para atingir os objetivos do cap?tulo 3. Na ?rea I foram instaladas 308 unidades amostrais cont?guas de 10 x 10 m, perfazendo uma ?rea amostral de 3,08 ha. Nessas unidades amostrais, todos os indiv?duos com di?metro a 1,30 m de altura do solo (dap) ? 10 cm foram medidos, identificados e referenciados em coordenadas cartesianas (X,Y). Foram calculados os par?metros fitossociol?gicos de densidade, frequ?ncia, domin?ncia e posi??o sociol?gica, e as esp?cies ordenadas segundo o valor de import?ncia ampliado (VIA). A diversidade e o padr?o espacial foram obtidos atrav?s do ?ndice de Shannon-Weaver e fun??o K de Ripley, respectivamente. Na ?rea II, realizou-se um invent?rio de prospec??o com mapeamento de todas as ?rvores de Bertholletia excelsa Bonpl. com dap ? 20 cm, totalizando 1.000 hectares. Para an?lise da estrutura diam?trica foram utilizadas t?cnicas multivariadas: an?lise de agrupamento e discriminante. Utilizaram-se para an?lise de agrupamento a dist?ncia euclidiana e o m?todo de Ward. O padr?o espacial foi definido por meio do emprego da fun??o univariada K de Ripley. Constatado o padr?o espacial, dividiu-se o mapa em unidades de 50 x 50 m, no qual foram simulados diferentes procedimentos de amostragem (Amostragem Casual Simples, Amostragem Sistem?tica e Amostragem Adaptativa em Cluster) com intensidade amostral de 15% e limite de erro de 10%. As compara??es entre os m?todos foram realizadas por meio do teste F de Graybill e an?lises da precis?o e exatid?o obtidas das 30 simula??es realizadas para cada procedimento. Na ?rea I foram registrados 1.022 indiv?duos, distribu?dos em 64 esp?cies arb?reas e 33 fam?lias. A diversidade registrada foi de 3,03 nats.ind-1. As seis esp?cies de maior VIA foram: Campsiandra laurifolia Beth., Hevea brasiliensis (Willd. ex A.Juss.) Mull.Arg, Glicoxylon pedicellatum Ducke, Tetragastris altissima (Aubl.) Swart, Vantanea parviflora Lam. e Mabea caudata Pax & K.Hoffm. O padr?o espacial da comunidade variou em fun??o da dist?ncia considerada, por?m foi predominantemente agregado. Os padr?es espaciais detectados para as esp?cies foram: predominantemente aleat?rio para a esp?cie Vantanea parviflora; completamente agregado para as esp?cies Hevea brasiliensis e Glicoxylon pedicellatum; predominantemente agregado para Campsiandra laurifolia, Tetragastris altissima e Mabea caudata. Na ?rea II, a distribui??o diam?trica de Bertholletia excelsa apresentou clara tend?ncia ? normalidade, enquanto que o padr?o espacial foi predominantemente aleat?rio. Os m?todos de amostragem adaptativos foram ineficiente e subestimam o n?mero de indiv?duos por hectare. Os procedimentos casual simples e sistem?tico podem ser utilizados para invent?rios florestais de Bertholletia excelsa desde que haja um aumento na intensidade amostral para valores acima de 44% da ?rea total. / Disserta??o (Mestrado) ? Programa de P?s-Gradua??o em Ci?ncia Florestal, Universidade Federal dos Vales do Jequitinhonha e Mucuri, 2015. / ABSTRACT The aim of this research was to investigate the structure and space pattern of a periodically floodable forest area and its prevalent species, in such a way to contribute to the definition of handling and conservation strategies (Area I); analyze the diameter structure, spatial pattern and sampling methods to estimate the Bertholletia excelsa Bonpl density in the Lower Tapaj?s River Region (Area II). Area I is a typical fragment of alluvial Dense Ombrophilous Forest used to accord the objectives of chapter 2, while Area II represent a Solid Ground Dense Ombrophilous Forest used to reach the aims of chapter 3. In Area I 308 contiguous sampling units measuring 10 x10 cm were installed, making a sampling area of 3.08ha. In those sampling units, all the individuals with 1.3m height from the soil (dap) > 10cm were measured, identified and referenced in Cartesian coordinates (X,Y). The phytossociological parameters of density, frequency, dominance and sociological position were calculated, and the species were sorted according to the increased importance rate (VIA). The diversity and the spatial pattern were obtained through the index of Shannon-Weaver and K function of Ripley, respectively. In Area II, an inventory of prospection with the mapping of all Bertholletia excels Bonpl. trees with dap > 20cm was made, totalizing 1,000 hectares. For the analysis of the diametrical structure multi-varied techniques were adopted: grouping analysis and discriminating analysis. To the grouping analysis the Euclidian distance and the Ward method were used. The spatial pattern was defined by employing the univariate Ripley K function. After confirming the spatial pattern, the map was divided into 50 x 50 cm units, in which different sampling procedures were simulated (Simple Casual Sampling, Systematic Sampling and Cluster Adaptive Sampling) with 15% sampling intensity and 10 % error limit. The comparisons between the methods were performed by means of Graybill F test and precision analysis obtained from the 30 simulations performed for each procedure. In Area I 1,022 individuals were recorded, they were distributed into 64 arboreal species and 33 families. The recorded diversity was 3.03 nats.ind-1. The six species with greater VIA were: Campsiandra laurifolia Beth., Hevea brasiliensis (Willd. ex A.Juss.) Mull.Arg, Glicoxyson pedicellatum Ducke, Tetragastris altissima (Aubl.) Swart, Vantanea parviflora Lam. And Mabea caudata Pax & K.Hoffm. The spatial pattern of the community has varied because of the considered distance, however it was predominantly aggregated. The spatial patterns detected for the species were: Predominantly random for the Vantanea parviflora; completely aggregated for the Hevea brasiliensis and Glicoxylon pedicellatum species; predominantly aggregated for Camsiandra laurifolia. Tetragastris altissima and Mabea caudata. In Area II, the diametric distribution of Bertholletia excelsa has showed clear tendency to normality, while the spatial pattern was predominantly random. The adaptive sampling methods were inefficient and underestimate the number of individuals per hectare. The simple casual and systematic procedures can be used in Betholletia excelsa forest inventories if there is an increase of sampling intensity for values over 44% the total area.