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Dec 08, 2017 Call for Papers Human-Building Interaction A Special Issue of ACM Transactions on Computer-Human Interaction (ACM TOCHI) Deadline for Submissions: (be sure to see also our author’s instructions) December 8, 2017: Informal submission of abstract to special issue editors at HBI-TOCHI@unifr.ch.
Canonical Correspondence Analysis (CCA) is quickly becoming the most widely used gradient analysis technique in ecology. The CCA algorithm is based upon Correspondence Analysis (CA), an indirect gradient analysis (ordination) technique. CA and a related ordination technique, Detrended Correspondence Analysis, have been criticized for a number of reasons. To test whether CCA suffers from the same defects, I simulated data sets with properties that usually cause problems for DCA. Results indicate that CCA performs quite well with skewed species distributions, with quantitative noise in species abundance data, with samples taken from unusual sampling designs, with highly intercorrelated environmental variables, and with situations where not all of the factors determining species composition are known.
CCA is immune to most of the problems of DCA.
DESCRIPTION Laika posm no 2010. Februra ldz 31. Martam, sadarbojoties Stratisks analzes komisijai (SAK), Microsoft Latvia un SIA Analtisko ptjumu un stratiju laboratorija tika realizts ptniecisks projekts Inovatvas skolu sistmas struktras stenoanas izaicinjumi un iespjas. Projekta mris bija aktualizt inovatvas skolu sistmas nepiecieambu Latvij, identificjot barjeras ts stenoanai un izstrdjot risinjumus barjeru prvaranai.aj ziojum apkopota informcija par vism projekta ietvaros veiktajm aktivittm, to ietvaros iegtajiem viedokiem, galvenajiem secinjumiem, k ar izstrdtajiem ieteikumiem izgltbas satura un procesa kvalittes uzlaboanai.Ptjuma ziojums publiski pieejams: http://www.saki.lv/viedokli/487-ptjum-analiz-21-gadsimta-izaicinjumus-skols-un-izgltb. INOVATVAS SKOLU SISTMAS STRUKTRASSTENOANAS IZAICINJUMI UN IESPJAS PTJUMA REZULTTU ZIOJUMSPtjuma pasttjs: SIA Microsoft LatviaPtjuma veicjs: SIA Analtisko ptjumu un stratiju laboratorijaRGA, 2010 2. Inovatvas skolu sistmas struktras stenoanas izaicinjumi un iespjas 2 SATURSIEVADS..............3 1.
PTJUMA METODOLOIJA...........4 2. INOVATVAS SKOLAS KONCEPTS..........72.1. Inovatvas skolas koncepta izstrdes konteksts.........72.2.
Koncepcijas organizatoriskais ietvars..........82.3. Nkotnes Skola (School of the Future) Filadelfij.........82.4. Inovatvs izgltbas lderi pasaul..........92.5. Inovatvas skolas koncepcijas pamatnostdnes.........102.6.
Inovatvas skolas koncepcijas kritika un ievieanas riski........13 3. DISKUSIJU CIKLA GALVENS TZES..........143.1. Diskusiju tematiskie bloki un to saturs..........143.2. Diskusiju galvens tzes...........153.3.
Kopsavilkums par diskusiju cikl paustajiem viedokiem........28 4. SKOLS VEIKTO NOVROJUMU GALVENIE SECINJUMI........304.1. Tehnoloiju izmantoana Latvijas skols.........304.2. Skolotju viedoklis par jaunajm tehnoloijm.........374.3. Skolnu viedoklis par jaunajm tehnoloijm.........384.4.
Dnevnik po praktike farmacevta 2. Jauns tehnoloijas skols: ieguvumi, riski un barjeras........414.5. Tehnoloiju virztjspki...........434.6. Skolm nepiecieamais atbalsts tehnoloiju jom........474.7. Ptto skolu inovativitte...........474.8.
Kopsavilkums par veiktajiem novrojumiem skols........544.9. Secinjumi par skolu inovativitti Latvij.........56 5. LATVIJAS IEDZVOTJU VIEDOKLIS PAR IZGLTBAS SISTMAS IZMAIU NEPIECIEAMBU....575.1. Nepiecieamba visprjs izgltbas sistm veikt izmaias.......575.2. Iedzvotju viedoklis par izgltbas satura digitalizciju........575.3.
Iedzvotju viedoklis par to, kur klas brniem skt apgt jauno tehnoloiju lietoanu.....585.4. Iedzvotju viedoklis par jaunajm tehnoloijm izgltb........59 6. IETEIKUMI UN TO IZVRTJUMS...........606.1. Ieteikumi konkrtm aktivittm..........606.2. Ieteikumu izvrtjums efektivitte pret aktualitti........62 7. KOPSAVILKUMS............65 SIA Analtisko ptjumu un stratiju laboratorija SIA Microsoft Latvia 3.